Publications
A full list of publications in reverse chronological order, across all areas.
A full list of publications in reverse chronological order, across all areas.
| [310] | PG3: Policy-Guided Planning for Generalized Policy Generation (), In International Joint Conference on Artificial Intelligence (IJCAI), 2022. |
| [309] | Discovering State and Action Abstractions for Generalized Task and Motion Planning (), In AAAI Conference on Artificial Intelligence (AAAI), 2022. |
| [308] | Long-Horizon Manipulation of Unknown Objects via Task and Motion Planning with Estimated Affordances (), In Proc. of The International Conference in Robotics and Automation (ICRA), 2022. |
| [307] | Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators (), In Proc. International Conference on Automated Planning and Scheduling (ICAPS), 2022. |
| [306] | Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning (), In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022. |
| [305] | Learning to Plan with Optimistic Action Models (), In ICRA Worksop on Scaling Robot Learning, 2022. |
| [304] | Fully Persistent Spatial Data Structures for Efficient Queries in Path-Dependent Motion Planning Applications (), In Proc. of The International Conference in Robotics and Automation (ICRA), 2022. |
| [303] | Let’s Handle It: Generalizable Manipulation of Articulated Objects (), In ICLR Workshop on Generalizable Policy Learning in the Physical World, 2022. |
| [302] | Representation, learning, and planning algorithms for geometric task and motion planning (), In The International Journal of Robotics Research, volume 41, 2022. |
| [301] | Learning Neuro-Symbolic Skills for Bilevel Planning (), In Conference on Robot Learning (CoRL), 2022. |
| [300] | Learning Object-Based State Estimators for Household Robots (), In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022. |
| [299] | PDDL Planning With Pretrained Large Language Models (), In Foundation Models for Decision Making Workshop at Neural Information Processing Systems, 2022. |
| [298] | HandMeThat: Human-Robot Communication in Physical and Social Environments (), In NeurIPS Datasets and Benchmarks Track, 2022. |
| [297] | PDSketch: Integrated Domain Programming, Learning, and Planning (), In NeurIPS, 2022. |
| [296] | Sparse and Local Hypergraph Reasoning Networks (), In Learning on Graphs, 2022. |
| [295] | On the Expressiveness and Generalization of Hypergraph Neural Networks (), In Learning on Graphs, 2022. |
| [294] | Sequence-Based Plan Feasibility Prediction for Efficient Task and Motion Planning (), In CoRL 2022 Workshop Long Horizon Planning, 2022. |
| [293] | SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields (), In Conference on Robot Learning (CoRL), 2022. |
| [292] | Planning with Diffusion for Flexible Behavior Synthesis (), In International Conference on Machine Learning (ICML), 2022. |
| [291] | Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation (), In IEEE/RSJ International Conference on Robotics and Automation (ICRA), 2022. |
| [258] | Learning to guide task and motion planning using score-space representation (), In International Journal of Robotics Research, 2019. |
| [257] | Graph Element Networks: adaptive, structured computation and memory (), In Proceedings of the 36th International Conference on Machine Learning, volume 97, 2019. |
| [256] | Modeling and Planning with Macro-Actions in Decentralized POMDPs (), In Journal of Artificial Intelligence Research, volume 64, 2019. |
| [255] | Effect of Depth and Width on Local Minima in Deep Learning (), In Neural Computation, volume 31, 2019. |
| [254] | Depth with Nonlinearity Creates No Bad Local Minima in ResNets (), In Neural Networks, volume 118, 2019. |
| [253] | Learning sparse relational transition models (), In International Conference on Learning Representations (ICLR), 2019. |
| [252] | Adversarial actor-critic method for task and motion planning problems using planning experience (), In AAAI Conference on Artificial Intelligence (AAAI), 2019. |
| [251] | Learning Quickly to Plan Quickly Using Modular Meta-Learning (), In International Conference on Robotics and Automation (ICRA), 2019. |
| [250] | Differentiable Algorithm Networks for Composable Robot Learning (), In Robotics: Science and Systems (RSS), 2019. |
| [249] | Learning Compact Models for Planning with Exogenous Processes (), In Conference on Robot Learning, 2019. |
| [248] | Learning value functions with relational state representations for guiding task-and-motion planning (), In Conference on Robot Learning, 2019. |
| [247] | A Lagrangian Method for Inverse Problems in Reinforcement Learning (), In NeurIPS Optimization Foundations for Reinforcement Learning Workshop, 2019. |
| [246] | Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video (), In International Conference on Intelligent Robots and Systems (IROS), 2019. |
| [245] | Force-And-Motion Constrained Planning for Tool Use (), In International Conference on Intelligent Robots and Systems (IROS), 2019. |
| [244] | Gradient Descent Finds Global Minima for Generalizable Deep Neural Networks of Practical Sizes (), In 57th Allerton Conference on Communication, Control, and Computing (Allerton), 2019. |
| [243] | Every Local Minimum Value is the Global Minimum Value of Induced Model in Non-convex Machine Learning (), In Neural Computation, volume 31, 2019. |
| [242] | Neural Relational Inference with Fast Modular Meta-learning (), In Advances in Neural Information Processing Systems 32, 2019. |
| [241] | Automated sequence and motion planning for robotic spatial extrusion of 3D trusses (), In Construction Robotics, volume 2, 2018. |
| [240] | Look before you sweep: Visibility-aware motion planning (), In International Workshop on the Algorithmic Foundations of Robotics (WAFR), 2018. |
| [239] | Hardness of 3D Motion Planning Under Obstacle Uncertainty (), In International Workshop on the Algorithmic Foundations of Robotics (WAFR), 2018. |
| [238] | Sampling-based methods for factored task and motion planning (), In The International Journal of Robotics Research, 2018. |
| [237] | Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior (), In Neural Information Processing Systems (NeurIPS), 2018. |
| [236] | Adaptable replanning with compressed linear action models for learning from demonstrations (), In Conference on Robot Learning (CoRL), 2018. |
| [235] | Modular meta-learning (), In Conference on Robot Learning (CoRL), 2018. |
| [234] | Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing (), In International Conference on Intelligent Robots and Systems (IROS), 2018. |
| [233] | Automated sequence and motion planning for robotic spatial extrusion of 3D trusses (), In Construction Robotics, volume 2, 2018. |
| [232] | Active model learning and diverse action sampling for task and motion planning (), In International Conference on Intelligent Robots and Systems (IROS), 2018. |
| [231] | Provably Safe Robot Navigation with Obstacle Uncertainty (), In International Journal of Robotics Research, 2018. |
| [230] | Integrating Human-Provided Information Into Belief State Representation Using Dynamic Factorization (), In International Conference on Intelligent Robots and Systems (IROS), 2018. |
| [229] | Robot Juggling (), In EAAI-18: The 8th Symposium on Educational Advances in Artificial Intelligence, 2018. |
| [228] | Learning What Information to Give in Partially Observed Domains (), In Conference on Robot Learning (CoRL), 2018. |
| [227] | Generalization in Deep Learning (), In Mathematics of Deep Learning, Cambridge University Press, to appear. Prepint avaliable as: MIT-CSAIL-TR-2018-014, Massachusetts Institute of Technology, 2018. |
| [226] | From Skills to Symbols: Learning Symbolic Representations for Abstract High-Level Planning (), In Journal of Artificial Intelligence Research, volume 61, 2018. |
| [225] | Guiding Search in Continuous State-action Spaces by Learning an Action Sampler from Off-target Search Experience (), In Proceedings of the 32th AAAI Conference on Artificial Intelligence (AAAI). To appear, 2018. |
| [224] | Deep Semi-Random Features for Nonlinear Function Approximation (), In Proceedings of the 32th AAAI Conference on Artificial Intelligence (AAAI), 2018. |
| [223] | Reliably arranging objects in uncertain domains (), In IEEE Conference on Robotics and Automation (ICRA), 2018. |
| [222] | Batched Large-scale Bayesian Optimization in High-dimensional Spaces (), In International Conference on Artificial Intelligence and Statistics (AISTATS), 2018. |
| [221] | Policy search for multi-robot coordination under uncertainty (), In The International Journal of Robotics Research, volume 35, 2017. |
| [220] | Visual Servoing (), In EAAI-17: The 7th Symposium on Educational Advances in Artificial Intelligence, 2017. |
| [219] | Electrowetting-on-dielectric Actuation of a Spatial and Angular Manipulation Mems Stage (), In The 30th IEEE International Conference on Micro Electro Mechanical Systems (MEMS 2017), 2017. |
| [218] | FFRob: Leveraging symbolic planning for efficient task and motion planning (), In The International Journal of Robotics Research, 2017. |
| [217] | Project-based, Collaborative, Algorithmic Robotics for High SchoolStudents: Programming Self-driving Race Cars at MIT (), In 2017 IEEE Integrated STEM Education Conference (ISEC) (ISEC'17), 2017. |
| [216] | Focused Model-Learning and Planning for Non-Gaussian Continuous State-Action Systems (), In IEEE Conference on Robotics and Automation (ICRA), 2017. |
| [215] | Max-value Entropy Search for Efficient Bayesian Optimization (), In International Conference on Machine Learning (ICML), 2017. |
| [214] | Batched High-dimensional Bayesian Optimization via Structural Kernel Learning (), In International Conference on Machine Learning (ICML), 2017. |
| [213] | Learning to guide task and motion planning using score-space representation (), In IEEE Conference on Robotics and Automation (ICRA), 2017. |
| [212] | Learning composable models of parameterized skills (), In IEEE Conference on Robotics and Automation (ICRA), 2017. |
| [211] | Planning Robust Strategies for Constructing Multi-object Arrangements (), CSAIL MIT, 2017. |
| [210] | Sample-Based Methods for Factored Task and Motion Planning (), In Robotics: Science and Systems (RSS), 2017. |
| [209] | Provably Safe Robot Navigation with Obstacle Uncertainty (), In Robotics: Science and Systems (RSS), 2017. |
| [208] | Implicit Belief-Space Pre-images for Hierarchical Planning and Execution (), In IEEE Conference on Robotics and Automation (ICRA), 2016. |
| [207] | Searching for Physical Objects in Partially Known Environments (), In IEEE Conference on Robotics and Automation (ICRA), 2016. |
| [206] | Object-based World Modeling in Semi-Static Envrionments with Dependent Dirichlet Process Mixtures (), In International Joint Conference on Artificial Intelligence (IJCAI), 2016. |
| [205] | Learning to Rank for Synthesizing Planning Heuristics (), In Int. Joint Conf. on Artificial Intelligence (IJCAI), 2016. |
| [204] | Electrowetting-on-dielectric actuation of a vertical translation and angular manipulation stage (), In Applied Physics Letters, volume 109, 2016. |
| [203] | Decidability of Semi-Holonomic Prehensile Task and Motion Planning (), In International Workshop on the Algorithmic Foundations of Robotics (WAFR), 2016. |
| [202] | Humanoid manipulation planning using backward-forward search (), In Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on, 2016. |
| [201] | Global Continuous Optimization with Error Bound and Fast Convergence (), In Journal of Artificial Intelligence Research (JAIR), volume 56, 2016. |
| [200] | Deep Learning without Poor Local Minima (), In Advances in Neural Information Processing Systems (NeurIPS), 2016. |
| [199] | Optimization as Estimation with Gaussian Processes in Bandit Settings (), In International Conference on Artificial Intelligence and Statistics (AISTATS), 2016. |
| [198] | Bounded Optimal Exploration in MDP (), In Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI), 2016. |
| [197] | Optimization as Estimation with Gaussian Processes in Bandit Settings (), In International Conference on Artificial Intelligence and Statistics (AISTATS), 2016. |
| [196] | Bounded Optimal Exploration in MDP (), In Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI), 2016. |
| [195] | Data association for semantic world modeling from partial views (), In International Journal of Robotics Research, volume 34, 2015. |
| [194] | Symbol Acquisition for Probabilistic High-Level Planning (), In Proceedings of the Twenty Fourth International Joint Conference on Artificial Intelligence (IJCAI), 2015. |
| [193] | Policy Search for Multi-Robot Coordination under Uncertainty (), In Robotics: Science and Systems XI (RSS), 2015. |
| [192] | Planning for Decentralized Control of Multiple Robots Under Uncertainty (), In Proceedings of the 2015 IEEE International Conference on Robotics and Automation, 2015. |
| [191] | Hierarchical planning for multi-contact non-prehensile manipulation (), In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015. |
| [190] | Backward-Forward Search for Manipulation Planning (), In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015. |
| [189] | Generalizing over Uncertain Dynamics for Online Trajectory Generation (), In International Symposium of Robotics Research (ISRR), 2015. |
| [188] | Bayesian optimization with exponential convergence (), In Advances in Neural Information Processing Systems (NeurIPS), 2015. |
| [187] | Not Seeing is Also Believing: Combining Object and Metric Spatial Information (), In IEEE Conference on Robotics and Automation (ICRA), 2014. |
| [186] | Interactive Bayesian Identification of Kinematic Mechanisms (), In IEEE Conference on Robotics and Automation (ICRA), 2014. |
| [185] | Tracking the Spin on a Ping Pong Ball with the Quaternion Bingham Filter (), In IEEE Conference on Robotics and Automation (ICRA), 2014. |
| [184] | Exploiting Separability in Multi-Agent Planning with Continuous-State MDPs. (), In Thirteenth International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-14), 2014. |
| [183] | Planning with Macro-Actions in Decentralized POMDPs (), In Thirteenth International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-14), 2014. |
| [182] | Constructing Symbolic Representations for High-Level Planning (), In Proceedings of the Twenty-Eighth Conference on Artificial Intelligence, 2014. |
| [181] | A constraint-based method for solving sequential manipulation planning problems (), In IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014. |
| [180] | FFRob: An efficient heuristic for task and motion planning (), In International Workshop on the Algorithmic Foundations of Robotics (WAFR), 2014. |
| [179] | Generalizing Policy Advice with Gaussian Process Bandits for Dynamic Skill Improvement (), In Proceedings of the Twenty-Eighth Conference on Artificial Intelligence, 2014. |
| [178] | Learning a strategy for whole-arm grasping (), Massachusetts Institute of Technology, 2014. |
| [177] | Optimization in the Now: Dynamic Peephole Optimization for Hierarchical Planning (), In IEEE Conference on Robotics and Automation (ICRA), 2013. |
| [176] | Manipulation-based Active Search for Occluded Objects (), In IEEE Conference on Robotics and Automation (ICRA), 2013. |
| [175] | Object Placement as Inverse Motion Planning (), In IEEE Conference on Robotics and Automation (ICRA), 2013. |
| [174] | A Hierarchical Approach to Manipulation with Diverse Actions (), In IEEE Conference on Robotics and Automation (ICRA), 2013. |
| [173] | Integrated Task and Motion Planning in Belief Space (), In International Journal of Robotics Research, volume 32, 2013. |
| [172] | Optimal Sampling-Based Planning for Linear-Quadratic Kinodynamic Systems (), In IEEE Conference on Robotics and Automation (ICRA), 2013. |
| [171] | Constructing Semantic World Models from Partial Views (), In Robotics: Science and Systems (RSS) Workshop on Robots in Clutter, 2013. |
| [170] | Data association for semantic world modeling from partial views (), In International Symposium of Robotics Research, 2013. |
| [169] | Foresight and Reconsideration in Hierarchical Planning and Execution (), In IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013. |
| [168] | Bingham Procrustean Alignment for Object Detection in Clutter (), In IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013. |
| [167] | Automatic Synthesis of Rules for Planning in Belief Space (), In RSS Workshop on Combined Robot Motion Planning and AI Planning for Practical Applications, 2013. |
| [166] | Optimally Solving Dec-POMDPs as Continuous-State MDPs (), In Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, 2013. |
| [165] | Incremental Clustering and Expansion for Faster Optimal Planning in Decentralized POMDPs (), In Journal of Artificial Intelligence Research, volume 46, 2013. |
| [164] | Producing Efficient Error-bounded Solutions for Transition Independent Decentralized MDPs (), In Proceedings of the Twelfth International Conference on Autonomous Agents and Multiagent Systems, 2013. |
| [163] | Heuristic Search of Multiagent Influence Space (), In Proceedings of The International Joint Conference on Autonomous Agents and Multi Agent Systems, 2012. |
| [162] | Decentralized POMDPs (), , volume 12, 2012. |
| [161] | Scaling Up Decentralized MDPs Through Heuristic Search (), In Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012. |
| [160] | Diagnose and Decide: An Optimal Bayesian Approach (), In Proceedings of the Workshop on Bayesian Optimization and Decision Making at NIPS 2012, 2012. |
| [159] | Transfer Learning by Discovering Latent Task Parametrizations (), In NIPS 2012 Workshop on Bayesian Nonparametric Models for Reliable Planning And Decision-Making Under Uncertainty, 2012. |
| [158] | POMCoP: Belief Space Planning for Sidekicks in Cooperative Games (), In Proceedings of the 8th Annual AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2012. |
| [157] | Learning and Generalization of Complex Tasks from Unstructured Demonstrations (), In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012. |
| [156] | Transfer in Reinforcement Learning via Shared Features (), In Journal of Machine Learning Research, volume 13, 2012. |
| [155] | Learning Parameterized Skills (), In Proceedings of the Twenty Ninth International Conference on Machine Learning, 2012. |
| [154] | Manipulation with Multiple Action Types (), In International Symposium on Experimental Robotics, 2012. |
| [153] | Robot Learning from Demonstration by Constructing Skill Trees (), In International Journal of Robotics Research, volume 31, 2012. |
| [152] | LQR-RRT*: Optimal Sampling-Based Motion Planning with Automatically Derived Extension Heuristics (), In Proceedings of the IEEE International Conference on Robotics and Automation, 2012. |
| [151] | Kinematics of reaching and implications for handedness in rhesus monkey infants (), In Developmental Psychobiology, volume 54, 2012. |
| [150] | Collision-Free State Estimation (), In IEEE Conference on Robotics and Automation (ICRA), 2012. |
| [149] | Non-Gaussian Belief Space Planning: Correctness and Complexity (), In IEEE Conference on Robotics and Automation (ICRA), 2012. |
| [148] | Unifying Perception, Estimation and Action for Mobile Manipulation via Belief Space Planning (), In IEEE Conference on Robotics and Automation (ICRA), 2012. |
| [147] | Reasoning about Advisors for Seller Selection inE-Marketplaces via POMDPs (), In 15th International Workshop on Trust in Agent Societies (TRUST12), 2012. |
| [146] | Tree-Based Solution Methods for Multiagent POMDPswith Delayed Communication (), In Proceedings of the National Conference on Artificial Intelligence, 2012. |
| [145] | Influence-Based Abstraction for Multiagent Systems (), In Proceedings of the National Conference on Artificial Intelligence, 2012. |
| [144] | Scaling Up Optimal Heuristic Search in Dec-POMDPs via Incremental Expansion (), In Proceedings of the International Joint Conference on Artificial Intelligence, 2011. |
| [143] | Bakebot: Baking Cookies with the PR2 (), In IROS PR2 Workshop, 2011. |
| [142] | Planning and Control under Uncertainty for the PR2 (), In IROS PR2 Workshop, 2011. |
| [141] | Monte Carlo Pose Estimation with Quaternion Kernels and the Bingham Distribution (), In Proceedings of Robotics: Science and Systems, 2011. |
| [140] | Bayesian Policy Search with Policy Priors (), In International Joint Conference on Artificial Intelligence (IJCAI), 2011. |
| [139] | Autonomous Skill Acquisition on a Mobile Manipulator (), In Proceedings of the Twenty-Fifth Conference on Artificial Intelligence, 2011. |
| [138] | Value Function Approximation in Reinforcement Learning using the Fourier Basis (), In Proceedings of the Twenty-Fifth Conference on Artificial Intelligence, 2011. |
| [137] | TDγ: Re-evaluating Complex Backups in Temporal Difference Learning (), In Advances in Neural Information Processing Systems 24, 2011. |
| [136] | CST: Constructing Skill Trees by Demonstration (), In Proceedings of the ICML Workshop on New Developments in Imitation Learning, 2011. |
| [135] | Acquiring Transferrable Mobile Manipulation Skills (), In The RSS 2011 Workshop on Mobile Manipulation: Learning to Manipulate, 2011. |
| [134] | Hierarchical Task and Motion Planning in the Now (), In IEEE Conference on Robotics and Automation (ICRA), 2011. |
| [133] | Efficient planning in non-Gaussian belief spaces and its application to robot grasping (), In International Symposium on Robotics Research (ISRR), 2011. |
| [132] | Simultaneous localization and grasping using belief space planning (), In ICRA Workshop on manipulation under uncertainty, 2011. |
| [131] | Efficient planning in non-Gaussian belief spaces and its application to robot grasping (), In International Symposium on Robotics Research (ISRR), 2011. |
| [130] | Simultaneous localization and grasping using belief space planning (), In ICRA Workshop on manipulation under uncertainty, 2011. |
| [129] | Pre-image backchaining in belief space for mobile manipulation (), In International Symposium on Robotics Research (ISRR), 2011. |
| [128] | DetH*: approximate Hierarchical Solution of Large Markov Decision Processes (), In International Joint Conference on Artificial Intelligence (IJCAI), 2011. |
| [127] | Robust grasping under object pose uncertainty (), In Autonomous Robots, volume 31, 2011. |
| [126] | CAPIR: Collaborative Action Planning with Intention Recognition (), In Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE), 2011. |
| [125] | Belief space planning assuming maximum likelihood observations (), In Robotics Science and Systems Conference (RSS), 2010. |
| [124] | Hierarchical Solution of Large Markov Decision Processes (), In ICAPS Workshop on Planning and Scheduling Under Uncertainty, 2010. |
| [123] | Task-driven Tactile Exploration (), In Robotics Science and Systems (RSS), 2010. |
| [122] | Collision Avoidance for Unmanned Aircraft using Markov Decision Processes (), In AIAA Guidance, Navigation and Control Conference, 2010. |
| [121] | Class-Specific Grasping of 3D Objects from a Single 2D Image (), In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2010. |
| [120] | Planning in partially observable switching-mode continuous domains (), In Annals of Mathematics and Artificial Intelligence, 2010. |
| [119] | Fast Approximate Hierarchical Solution of MDPs (), MIT, 2009. |
| [118] | Learning to Generate Novel Views of Objects for Class Recognition. (), In Computer Vision and Image Understanding, 2009. |
| [117] | Relatively Robust Grasping (), In International Conference on Automated Planning and Scheduling (ICAPS) Workshop on Bridging the Gap Between Task and Motion Planning, 2009. |
| [116] | Segmentation According to Natural Examples: Learning StaticSegmentation from Motion Segmentation (), In IEEE Transactions on Pattern Analysis andMachine Intelligence, 2009. |
| [115] | Continuous-State POMDPs with Hybrid Dynamics (), In International Symposium on Artificial Intelligence and Mathematics, 2008. |
| [114] | Lifted Probabilistic Inference with Counting Formulas (), In Twenty Third Conference on Artificial Intelligence (AAAI), 2008. |
| [113] | Robust Belief-Based Execution of Manipulation Programs (), In Eighth International Workshop on the Algorithmic Foundations of Robotics (WAFR), 2008. |
| [112] | Multi-agent Filtering with Infinitely Nested Beliefs (), In Neural Information Processing Systems (NIPS), 2008. |
| [111] | Automated Design of Adaptive Controllers for Modular Robots Using Reinforcement Learning (), In International Journal of Robotics Research, volume 27, 2008. |
| [110] | Efficient Distributed Reinforcement Learning Through Agreement (), In 9th International Symposium on Distributed Autonomous Robotic Systems (DARS), 2008. |
| [109] | Efficient Bayesian Task-level Transfer Learning (), In International Joint Conference on Artificial Intelligence (IJCAI), 2007. |
| [108] | Learning Probabilistic Relational Dynamics for Multiple Tasks (), In Conference on Uncertainty in Artificial Intelligence (UAI), 2007. |
| [107] | Logical Particle Filtering (), In Dagstuhl Seminar on Probabilistic, Logical and Relational Learning, 2007. |
| [106] | Action-Space Partitioning for Planning (), In AAAI, 2007. |
| [105] | Grasping POMDPs: Theory and Experiments (), In Robotics Science and Systems Manipulation Workshop: Sensing and Adapting to the Real World, 2007. |
| [104] | Grasping POMDPs (), In IEEE International Conference on Robotics and Automation, 2007. |
| [103] | Learning Hierarchical Structure in Policies (), In NIPS Workshop on Hierarchical Organization of Behavior, 2007. |
| [102] | Learning Symbolic Models of Stochastic Domains (), In J. Artif. Intell. Res. (JAIR), volume 29, 2007. |
| [101] | Predicting Partial Paths from Planning Problem Parameters (), In Robotics Science and Systems, 2007. |
| [100] | Reasoning about Large Populations with Lifted Probabilistic Inference (), In NIPS Workshop on Statistical Network Models, 2007. |
| [99] | Virtual Training for Multi-View Object Class Recognition. (), In CVPR, 2007. |
| [98] | Protein side-chain placement through MAP estimation andproblem-size reduction (), In 6th Workshop on Algorithms in Bioinformatics(WABI), 2006. |
| [97] | Imitation Learning of Whole-Body Grasps (), In IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS), 2006. |
| [96] | Matching Interest Points Using Affine Invariant Concentric Circles (), In Intl. Conference on Pattern Recognition (ICPR), 2006. |
| [95] | Learning Planning Rules in Stochastic Worlds (), In AAAI, 2005. |
| [94] | Transfer Learning with an Ensemble of Background Tasks (), In NIPS Workshop on Inductive Transfer, 2005. |
| [93] | All learning is Local: Multi-agent Learning in Global Reward Games (), In Advances in Neural Information Processing Systems 16, 2004. |
| [92] | Learning Probabilistic Relational Planning Rules (), In International Conference on Automated Planning and Scheduling (ICAPS), 2004. |
| [91] | Approximate Planning in POMDPs with Macro-Actions (), In Advances in Neural Information Processing Systems 16 (NIPS03), 2004. |
| [90] | Envelope-based Planning in Relational MDPs (), In NIPS, volume 16, 2004. |
| [89] | A dynamical model of visually-guided steering, obstacle avoidance, and route selection (), In International Journal of Computer Vision, 2003. |
| [88] | De novo determination of peptide structure with solid-state magic-angle spinning NMR spectroscopy. (), In Proceedings of the National Academy of Sciences, USA, volume 99, 2002. |
| [87] | Learning Geometrically-Constrained Hidden Markov Models forRobot Navigation: Bridging theGeometrical-Topological Gap (), In Journal of Artificial Intelligence Research, 2002. |
| [86] | Nearly deterministic abstractions of Markov decision processes (), In 18th National Conference on Artificial Intelligence, 2002. |
| [85] | Visually Guided Topological Mapping for Mobile Robots (), In Proceedings of the SPIE, volume 4573, 2001. |
| [84] | Learning to Cooperate via Policy Search (), In Sixteenth Conference on Uncertainty in Artificial Intelligence (UAI-2000), 2000. |
| [83] | Practical Reinforcement Learning (), In International Conference on Machine Learning (ICML), 2000. |
| [82] | Sampling Methods for Action Selection in Influence Diagrams (), In AAAI/IAAI, 2000. |
| [81] | Image Database Retrieval With Multiple-Instance Learning Techniques (), In Intl. Conference on Data Engineering, 2000. |
| [80] | Learning Finite-State Controllers for Partially Observable Environments. (), In UAI, 1999. |
| [79] | Multi-Value-Functions: Efficient Automatic Action Hierarchies for Multiple Goal MDPs (), In International Joint Conference on Artificial Intelligence (IJCAI), 1999. |
| [78] | Solving POMDPs by Searching the Space of Finite Policies (), In UAI, 1999. |
| [77] | A Framework for Learning Query Concepts in Image Classification (), In Computer Vision and Pattern Recognition Conference, 1999. |
| [76] | A Framework for Multiple Instance Learning (), In Advances in Neural Information Processing Systems 10, 1998. |
| [75] | AmbiPack: a systematic algorithm for packing of macromolecular structures withambiguous distance constraints (), In Proteins, volume 32, 1998. |
| [74] | Heading in the Right Direction (), In International Conference on Machine Learning (ICML), 1998. |
| [73] | Hierarchical Solution of Markov Decision Processes Using MacroActions (), In Conference on Uncertainty in Artificial Intelligence (UAI), 1998. |
| [72] | Planning and Acting in Partially Observable Stochastic Domains (), In Artificial Intelligence, volume 101, 1998. |
| [71] | Solving Very Large Weakly Coupled Markov Decision Processes (), In National Conference on Artificial Intelligence (AAAI), 1998. |
| [70] | Learning Topological Maps from Weak Odometric Information (), In International Joint Conference on Artificial Intelligence (IJCAI), 1997. |
| [69] | Solving the multiple instance problem with axis-parallel rectangles (), In Artificial Intelligence, volume 89, 1997. |
| [68] | Reinforcement Learning: A Survey (), In Journal of Artificial Intelligence Research, volume 4, 1996. |
| [67] | Acting under uncertainty: Discrete Bayesian models for mobile robot navigation (), In {IEEE}/{RSJ} International Conference on Intelligent Robots and Systems (IROS), 1996. |
| [66] | An Automatic Registration Method for Frameless Stereotaxy, ImageGuided Surgery, and Enhanced Reality Visualization (), In IEEE Transaction on Medical Imaging, volume 15, 1996. |
| [65] | On the Complexity of Solving Markov Decision Problems (), In Proceedings of the Eleventh International Conference on Uncertainty inArtificial Intelligence, 1995. |
| [64] | A Situated View of Representation and Control (), In Artificial Intelligence, volume 72, 1995. |
| [63] | Efficient dynamic-programming updates in partially observable Markov decision processes (), Brown University, 1995. |
| [62] | Ecological Robotics: Controlling Behavior with Optical Flow (), In Proceedings of the Conference of the Cognitive Science Society, 1995. |
| [61] | Learning Dynamics: System Identification for Perceptually Challenged Agents (), In Artificial Intelligence, volume 72, 1995. |
| [60] | Learning Policies for Partially Observable Environments: Scaling Up (), In International Conference on Machine Learning (ICML), 1995. |
| [59] | Planning Under Time Constraints in Stochastic Domains (), In Artificial Intelligence, volume 76, 1995. |
| [58] | Two-Handed Assembly Sequencing (), In International Journal of Robotics Research, volume 14, 1995. |
| [57] | Acting Optimally in Partially Observable Stochastic Domains (), In Proceedings of the Twelfth National Conference on Artificial Intelligence, 1994. |
| [56] | Algorithms for Partially Observable Markov Decision Processes (), Brown University, 1994. |
| [55] | Associative Reinforcement Learning: A Generate and Test Algorithm (), In Machine Learning, volume 15, 1994. |
| [54] | Associative Reinforcement Learning: Functions in k-DNF (), In Machine Learning, volume 15, 1994. |
| [53] | Learning Hierarchies in Stochastic Domains (), , 1994. |
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