Research
Members of LIS work in a broad set of research areas. Here are some publications in areas of recent interest. Visit the Publications page for a full list of publications in reverse chronological order, across all areas.
Members of LIS work in a broad set of research areas. Here are some publications in areas of recent interest. Visit the Publications page for a full list of publications in reverse chronological order, across all areas.
| [7] | Embodied Lifelong Learning for Task and Motion Planning (), In Proceedings of the 7th Conference on Robot Learning (CoRL-23), 2023. |
| [6] | Robust Planning for Multi-Stage Forceful Manipulation (), In International Journal of Robotics Research (IJRR), 2023. |
| [5] | Overcoming the Pitfalls of Prediction Error in Operator Learning for Bilevel Planning (), In Robotics: Science and Systems (RSS) Workshop on Learning for Task and Motion Planning, 2023. |
| [4] | Embodied Active Learning of Relational State Abstractions for Bilevel Planning (), In Conference on Lifelong Learning Agents (CoLLAs), 2023. |
| [3] | Sequence-Based Plan Feasibility Prediction for Efficient Task and Motion Planning (), In Robotics: Science and Systems (RSS), 2023. |
| [2] | Visibility-Aware Navigation Among Movable Obstacles (), In ICRA, 2023. |
| [1] | Predicate Invention for Bilevel Planning (), In AAAI Conference on Artificial Intelligence (AAAI), 2023. |
| [7] | Robotic additive construction of bar structures: unified sequence and motion planning (), In Construction Robotics, volume 5, 2021. |
| [6] | Learning compositional models of robot skills for task and motion planning (), In International Journal of Robotics Research, volume 40, 2021. |
| [5] | Learning Symbolic Operators for Task and Motion Planning (), In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021. |
| [4] | Planning for Multi-stage Forceful Manipulation (), In International Conference on Robotics and Automation (ICRA), 2021. |
| [3] | Shape-Based Transfer of Generic Skills (), In Proc. of The International Conference in Robotics and Automation (ICRA), 2021. |
| [2] | Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks (), In AAAI, 2021. |
| [1] | Integrated Task and Motion Planning (), In Annual review of control, robotics, and autonomous systems, volume 4, 2021. |
| [3] | CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs (), In Conference on Robotic Learning (CoRL), 2020. |
| [2] | Online Replanning in Belief Space for Partially Observable Task and Motion Problems (), In International Conference on Robotics and Automation (ICRA), 2020. |
| [1] | PDDLStream: Integrating Symbolic Planners and Blackbox Samplers (), In International Conference on Automated Planning and Scheduling (ICAPS), 2020. |
| [5] | Learning value functions with relational state representations for guiding task-and-motion planning (), In Conference on Robot Learning, 2019. |
| [4] | Learning Compact Models for Planning with Exogenous Processes (), In Conference on Robot Learning, 2019. |
| [3] | Learning Quickly to Plan Quickly Using Modular Meta-Learning (), In International Conference on Robotics and Automation (ICRA), 2019. |
| [2] | Adversarial actor-critic method for task and motion planning problems using planning experience (), In AAAI Conference on Artificial Intelligence (AAAI), 2019. |
| [1] | Learning to guide task and motion planning using score-space representation (), In International Journal of Robotics Research, 2019. |
| [4] | Sample-Based Methods for Factored Task and Motion Planning (), In Robotics: Science and Systems (RSS), 2017. |
| [3] | Learning composable models of parameterized skills (), In IEEE Conference on Robotics and Automation (ICRA), 2017. |
| [2] | Learning to guide task and motion planning using score-space representation (), In IEEE Conference on Robotics and Automation (ICRA), 2017. |
| [1] | FFRob: Leveraging symbolic planning for efficient task and motion planning (), In The International Journal of Robotics Research, 2017. |
| [4] | Decidability of Semi-Holonomic Prehensile Task and Motion Planning (), In International Workshop on the Algorithmic Foundations of Robotics (WAFR), 2016. |
| [3] | Searching for Physical Objects in Partially Known Environments (), In IEEE Conference on Robotics and Automation (ICRA), 2016. |
| [2] | Implicit Belief-Space Pre-images for Hierarchical Planning and Execution (), In IEEE Conference on Robotics and Automation (ICRA), 2016. |
| [1] | Humanoid manipulation planning using backward-forward search (), In Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on, 2016. |
| [2] | Backward-Forward Search for Manipulation Planning (), In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015. |
| [1] | Symbol Acquisition for Probabilistic High-Level Planning (), In Proceedings of the Twenty Fourth International Joint Conference on Artificial Intelligence (IJCAI), 2015. |
| [3] | FFRob: An efficient heuristic for task and motion planning (), In International Workshop on the Algorithmic Foundations of Robotics (WAFR), 2014. |
| [2] | A constraint-based method for solving sequential manipulation planning problems (), In IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014. |
| [1] | Constructing Symbolic Representations for High-Level Planning (), In Proceedings of the Twenty-Eighth Conference on Artificial Intelligence, 2014. |
| [5] | Foresight and Reconsideration in Hierarchical Planning and Execution (), In IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013. |
| [4] | Optimal Sampling-Based Planning for Linear-Quadratic Kinodynamic Systems (), In IEEE Conference on Robotics and Automation (ICRA), 2013. |
| [3] | Integrated Task and Motion Planning in Belief Space (), In International Journal of Robotics Research, volume 32, 2013. |
| [2] | Manipulation-based Active Search for Occluded Objects (), In IEEE Conference on Robotics and Automation (ICRA), 2013. |
| [1] | Optimization in the Now: Dynamic Peephole Optimization for Hierarchical Planning (), In IEEE Conference on Robotics and Automation (ICRA), 2013. |
| [1] | Unifying Perception, Estimation and Action for Mobile Manipulation via Belief Space Planning (), In IEEE Conference on Robotics and Automation (ICRA), 2012. |
| [2] | Pre-image backchaining in belief space for mobile manipulation (), In International Symposium on Robotics Research (ISRR), 2011. |
| [1] | Hierarchical Task and Motion Planning in the Now (), In IEEE Conference on Robotics and Automation (ICRA), 2011. |
| [1] | Task-Directed Exploration in Continuous POMDPs for Robotic Manipulation of Articulated Objects (), In ICRA, 2023. |
| [1] | Online Replanning in Belief Space for Partially Observable Task and Motion Problems (), In International Conference on Robotics and Automation (ICRA), 2020. |
| [3] | Integrating Human-Provided Information Into Belief State Representation Using Dynamic Factorization (), In International Conference on Intelligent Robots and Systems (IROS), 2018. |
| [2] | Provably Safe Robot Navigation with Obstacle Uncertainty (), In International Journal of Robotics Research, 2018. |
| [1] | Hardness of 3D Motion Planning Under Obstacle Uncertainty (), In International Workshop on the Algorithmic Foundations of Robotics (WAFR), 2018. |
| [1] | Provably Safe Robot Navigation with Obstacle Uncertainty (), In Robotics: Science and Systems (RSS), 2017. |
| [1] | Implicit Belief-Space Pre-images for Hierarchical Planning and Execution (), In IEEE Conference on Robotics and Automation (ICRA), 2016. |
| [1] | Automatic Synthesis of Rules for Planning in Belief Space (), In RSS Workshop on Combined Robot Motion Planning and AI Planning for Practical Applications, 2013. |
| [3] | Unifying Perception, Estimation and Action for Mobile Manipulation via Belief Space Planning (), In IEEE Conference on Robotics and Automation (ICRA), 2012. |
| [2] | Non-Gaussian Belief Space Planning: Correctness and Complexity (), In IEEE Conference on Robotics and Automation (ICRA), 2012. |
| [1] | LQR-RRT*: Optimal Sampling-Based Motion Planning with Automatically Derived Extension Heuristics (), In Proceedings of the IEEE International Conference on Robotics and Automation, 2012. |
| [3] | Pre-image backchaining in belief space for mobile manipulation (), In International Symposium on Robotics Research (ISRR), 2011. |
| [2] | Efficient planning in non-Gaussian belief spaces and its application to robot grasping (), In International Symposium on Robotics Research (ISRR), 2011. |
| [1] | Efficient planning in non-Gaussian belief spaces and its application to robot grasping (), In International Symposium on Robotics Research (ISRR), 2011. |
| [1] | Belief space planning assuming maximum likelihood observations (), In Robotics Science and Systems Conference (RSS), 2010. |
| [3] | Sequence-Based Plan Feasibility Prediction for Efficient Task and Motion Planning (), In CoRL 2022 Workshop Long Horizon Planning, 2022. |
| [2] | Learning Neuro-Symbolic Skills for Bilevel Planning (), In Conference on Robot Learning (CoRL), 2022. |
| [1] | PG3: Policy-Guided Planning for Generalized Policy Generation (), In International Joint Conference on Artificial Intelligence (IJCAI), 2022. |
| [8] | Batched Large-scale Bayesian Optimization in High-dimensional Spaces (), In International Conference on Artificial Intelligence and Statistics (AISTATS), 2018. |
| [7] | Deep Semi-Random Features for Nonlinear Function Approximation (), In Proceedings of the 32th AAAI Conference on Artificial Intelligence (AAAI), 2018. |
| [6] | 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. |
| [5] | 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. |
| [4] | Active model learning and diverse action sampling for task and motion planning (), In International Conference on Intelligent Robots and Systems (IROS), 2018. |
| [3] | Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing (), In International Conference on Intelligent Robots and Systems (IROS), 2018. |
| [2] | Modular meta-learning (), In Conference on Robot Learning (CoRL), 2018. |
| [1] | Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior (), In Neural Information Processing Systems (NeurIPS), 2018. |
| [5] | Learning composable models of parameterized skills (), In IEEE Conference on Robotics and Automation (ICRA), 2017. |
| [4] | Learning to guide task and motion planning using score-space representation (), In IEEE Conference on Robotics and Automation (ICRA), 2017. |
| [3] | Batched High-dimensional Bayesian Optimization via Structural Kernel Learning (), In International Conference on Machine Learning (ICML), 2017. |
| [2] | Max-value Entropy Search for Efficient Bayesian Optimization (), In International Conference on Machine Learning (ICML), 2017. |
| [1] | Focused Model-Learning and Planning for Non-Gaussian Continuous State-Action Systems (), In IEEE Conference on Robotics and Automation (ICRA), 2017. |
| [5] | Learning to Rank for Synthesizing Planning Heuristics (), In Int. Joint Conf. on Artificial Intelligence (IJCAI), 2016. |
| [4] | Optimization as Estimation with Gaussian Processes in Bandit Settings (), In International Conference on Artificial Intelligence and Statistics (AISTATS), 2016. |
| [3] | Optimization as Estimation with Gaussian Processes in Bandit Settings (), In International Conference on Artificial Intelligence and Statistics (AISTATS), 2016. |
| [2] | Deep Learning without Poor Local Minima (), In Advances in Neural Information Processing Systems (NeurIPS), 2016. |
| [1] | Global Continuous Optimization with Error Bound and Fast Convergence (), In Journal of Artificial Intelligence Research (JAIR), volume 56, 2016. |
| [2] | Generalizing over Uncertain Dynamics for Online Trajectory Generation (), In International Symposium of Robotics Research (ISRR), 2015. |
| [1] | Bayesian optimization with exponential convergence (), In Advances in Neural Information Processing Systems (NeurIPS), 2015. |
| [1] | Noether networks: meta-learning useful conserved quantities (), In NeurIPS, 2021. |
| [2] | Neural Relational Inference with Fast Modular Meta-learning (), In Advances in Neural Information Processing Systems 32, 2019. |
| [1] | Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video (), In International Conference on Intelligent Robots and Systems (IROS), 2019. |
| [1] | Object-based World Modeling in Semi-Static Envrionments with Dependent Dirichlet Process Mixtures (), In International Joint Conference on Artificial Intelligence (IJCAI), 2016. |
| [1] | Data association for semantic world modeling from partial views (), In International Journal of Robotics Research, volume 34, 2015. |
| [3] | Tracking the Spin on a Ping Pong Ball with the Quaternion Bingham Filter (), In IEEE Conference on Robotics and Automation (ICRA), 2014. |
| [2] | Interactive Bayesian Identification of Kinematic Mechanisms (), In IEEE Conference on Robotics and Automation (ICRA), 2014. |
| [1] | Not Seeing is Also Believing: Combining Object and Metric Spatial Information (), In IEEE Conference on Robotics and Automation (ICRA), 2014. |
| [2] | Data association for semantic world modeling from partial views (), In International Symposium of Robotics Research, 2013. |
| [1] | Constructing Semantic World Models from Partial Views (), In Robotics: Science and Systems (RSS) Workshop on Robots in Clutter, 2013. |
| [1] | Collision-Free State Estimation (), In IEEE Conference on Robotics and Automation (ICRA), 2012. |
| [1] | How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition (), In Transactions on Machine Learning Research (TMLR), 2023. |
| [1] | Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators (), In Proc. International Conference on Automated Planning and Scheduling (ICAPS), 2022. |
| [3] | Understanding End-to-End Model-Based Reinforcement Learning Methods as Implicit Parameterization (), In Conference on Neural Information Processing Systems (NeurIPS), 2021. |
| [2] | Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators (), In Planning and Reinforcement Learning Workshop at ICAPS, 2021. |
| [1] | Robust Reinforcement Learning: A Constrained Game-theoretic Approach (), In Learning for Dynamics and Control, 2021. |
| [2] | Effective, interpretable algorithms for curiosity automatically discovered by evolutionary search (), MIT, 2020. |
| [1] | Few-shot Bayesian Imitation Learning with Logical Program Policies (), In AAAI Conference on Artificial Intelligence (AAAI), 2020. |
| [1] | A Lagrangian Method for Inverse Problems in Reinforcement Learning (), In NeurIPS Optimization Foundations for Reinforcement Learning Workshop, 2019. |
| [2] | From Skills to Symbols: Learning Symbolic Representations for Abstract High-Level Planning (), In Journal of Artificial Intelligence Research, volume 61, 2018. |
| [1] | Adaptable replanning with compressed linear action models for learning from demonstrations (), In Conference on Robot Learning (CoRL), 2018. |
| [1] | Symbol Acquisition for Probabilistic High-Level Planning (), In Proceedings of the Twenty Fourth International Joint Conference on Artificial Intelligence (IJCAI), 2015. |
| [2] | Generalizing Policy Advice with Gaussian Process Bandits for Dynamic Skill Improvement (), In Proceedings of the Twenty-Eighth Conference on Artificial Intelligence, 2014. |
| [1] | Constructing Symbolic Representations for High-Level Planning (), In Proceedings of the Twenty-Eighth Conference on Artificial Intelligence, 2014. |
| [5] | Robot Learning from Demonstration by Constructing Skill Trees (), In International Journal of Robotics Research, volume 31, 2012. |
| [4] | Learning Parameterized Skills (), In Proceedings of the Twenty Ninth International Conference on Machine Learning, 2012. |
| [3] | Transfer in Reinforcement Learning via Shared Features (), In Journal of Machine Learning Research, volume 13, 2012. |
| [2] | Learning and Generalization of Complex Tasks from Unstructured Demonstrations (), In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012. |
| [1] | Transfer Learning by Discovering Latent Task Parametrizations (), In NIPS 2012 Workshop on Bayesian Nonparametric Models for Reliable Planning And Decision-Making Under Uncertainty, 2012. |
| [3] | TDγ: Re-evaluating Complex Backups in Temporal Difference Learning (), In Advances in Neural Information Processing Systems 24, 2011. |
| [2] | Value Function Approximation in Reinforcement Learning using the Fourier Basis (), In Proceedings of the Twenty-Fifth Conference on Artificial Intelligence, 2011. |
| [1] | Autonomous Skill Acquisition on a Mobile Manipulator (), In Proceedings of the Twenty-Fifth Conference on Artificial Intelligence, 2011. |
| [1] | Practical Reinforcement Learning (), In International Conference on Machine Learning (ICML), 2000. |
| [4] | Compositional Diffusion-Based Continuous Constraint Solvers (), In Conference on Robot Learning (CoRL), 2023. |
| [3] | Robust Planning for Multi-Stage Forceful Manipulation (), In International Journal of Robotics Research (IJRR), 2023. |
| [2] | Visibility-Aware Navigation Among Movable Obstacles (), In ICRA, 2023. |
| [1] | Task-Directed Exploration in Continuous POMDPs for Robotic Manipulation of Articulated Objects (), In ICRA, 2023. |
| [1] | Let’s Handle It: Generalizable Manipulation of Articulated Objects (), In ICLR Workshop on Generalizable Policy Learning in the Physical World, 2022. |
| [1] | Planning for Multi-stage Forceful Manipulation (), In International Conference on Robotics and Automation (ICRA), 2021. |
| [3] | Scalable and Probabilistically Complete Planning for Robotic Spatial Extrusion (), In Robotics: Science and Systems (RSS), 2020. |
| [2] | Online Replanning in Belief Space for Partially Observable Task and Motion Problems (), In International Conference on Robotics and Automation (ICRA), 2020. |
| [1] | PDDLStream: Integrating Symbolic Planners and Blackbox Samplers (), In International Conference on Automated Planning and Scheduling (ICAPS), 2020. |
| [1] | Force-And-Motion Constrained Planning for Tool Use (), In International Conference on Intelligent Robots and Systems (IROS), 2019. |
| [3] | Reliably arranging objects in uncertain domains (), In IEEE Conference on Robotics and Automation (ICRA), 2018. |
| [2] | Sampling-based methods for factored task and motion planning (), In The International Journal of Robotics Research, 2018. |
| [1] | Automated sequence and motion planning for robotic spatial extrusion of 3D trusses (), In Construction Robotics, volume 2, 2018. |
| [2] | Sample-Based Methods for Factored Task and Motion Planning (), In Robotics: Science and Systems (RSS), 2017. |
| [1] | FFRob: Leveraging symbolic planning for efficient task and motion planning (), In The International Journal of Robotics Research, 2017. |
| [1] | Humanoid manipulation planning using backward-forward search (), In Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on, 2016. |
| [2] | Backward-Forward Search for Manipulation Planning (), In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015. |
| [1] | Hierarchical planning for multi-contact non-prehensile manipulation (), In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015. |
| [1] | FFRob: An efficient heuristic for task and motion planning (), In International Workshop on the Algorithmic Foundations of Robotics (WAFR), 2014. |
| [2] | A Hierarchical Approach to Manipulation with Diverse Actions (), In IEEE Conference on Robotics and Automation (ICRA), 2013. |
| [1] | Object Placement as Inverse Motion Planning (), In IEEE Conference on Robotics and Automation (ICRA), 2013. |
| [1] | Manipulation with Multiple Action Types (), In International Symposium on Experimental Robotics, 2012. |
| [1] | HANDEY: A Robot Task Planner (), MIT Press, 1992. |
| [1] | Modeling and Planning with Macro-Actions in Decentralized POMDPs (), In Journal of Artificial Intelligence Research, volume 64, 2019. |
| [1] | Policy search for multi-robot coordination under uncertainty (), In The International Journal of Robotics Research, volume 35, 2017. |
| [2] | Planning for Decentralized Control of Multiple Robots Under Uncertainty (), In Proceedings of the 2015 IEEE International Conference on Robotics and Automation, 2015. |
| [1] | Policy Search for Multi-Robot Coordination under Uncertainty (), In Robotics: Science and Systems XI (RSS), 2015. |
| [2] | Planning with Macro-Actions in Decentralized POMDPs (), In Thirteenth International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-14), 2014. |
| [1] | Exploiting Separability in Multi-Agent Planning with Continuous-State MDPs. (), In Thirteenth International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-14), 2014. |
| [3] | Producing Efficient Error-bounded Solutions for Transition Independent Decentralized MDPs (), In Proceedings of the Twelfth International Conference on Autonomous Agents and Multiagent Systems, 2013. |
| [2] | Incremental Clustering and Expansion for Faster Optimal Planning in Decentralized POMDPs (), In Journal of Artificial Intelligence Research, volume 46, 2013. |
| [1] | Optimally Solving Dec-POMDPs as Continuous-State MDPs (), In Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, 2013. |
| [4] | Heuristic Search of Multiagent Influence Space (), In Proceedings of The International Joint Conference on Autonomous Agents and Multi Agent Systems, 2012. |
| [3] | Influence-Based Abstraction for Multiagent Systems (), In Proceedings of the National Conference on Artificial Intelligence, 2012. |
| [2] | Tree-Based Solution Methods for Multiagent POMDPswith Delayed Communication (), In Proceedings of the National Conference on Artificial Intelligence, 2012. |
| [1] | Scaling Up Decentralized MDPs Through Heuristic Search (), In Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012. |
| [1] | Scaling Up Optimal Heuristic Search in Dec-POMDPs via Incremental Expansion (), In Proceedings of the International Joint Conference on Artificial Intelligence, 2011. |
| [1] | All learning is Local: Multi-agent Learning in Global Reward Games (), In Advances in Neural Information Processing Systems 16, 2004. |
| [1] | Learning to Cooperate via Policy Search (), In Sixteenth Conference on Uncertainty in Artificial Intelligence (UAI-2000), 2000. |
| [1] | Task-Directed Exploration in Continuous POMDPs for Robotic Manipulation of Articulated Objects (), In ICRA, 2023. |
| [1] | Modeling and Planning with Macro-Actions in Decentralized POMDPs (), In Journal of Artificial Intelligence Research, volume 64, 2019. |
| [2] | Learning What Information to Give in Partially Observed Domains (), In Conference on Robot Learning (CoRL), 2018. |
| [1] | Integrating Human-Provided Information Into Belief State Representation Using Dynamic Factorization (), In International Conference on Intelligent Robots and Systems (IROS), 2018. |
| [1] | Policy search for multi-robot coordination under uncertainty (), In The International Journal of Robotics Research, volume 35, 2017. |
| [2] | Bounded Optimal Exploration in MDP (), In Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI), 2016. |
| [1] | Bounded Optimal Exploration in MDP (), In Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI), 2016. |
| [2] | Planning for Decentralized Control of Multiple Robots Under Uncertainty (), In Proceedings of the 2015 IEEE International Conference on Robotics and Automation, 2015. |
| [1] | Policy Search for Multi-Robot Coordination under Uncertainty (), In Robotics: Science and Systems XI (RSS), 2015. |
| [2] | Planning with Macro-Actions in Decentralized POMDPs (), In Thirteenth International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-14), 2014. |
| [1] | Exploiting Separability in Multi-Agent Planning with Continuous-State MDPs. (), In Thirteenth International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-14), 2014. |
| [2] | Producing Efficient Error-bounded Solutions for Transition Independent Decentralized MDPs (), In Proceedings of the Twelfth International Conference on Autonomous Agents and Multiagent Systems, 2013. |
| [1] | Optimally Solving Dec-POMDPs as Continuous-State MDPs (), In Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, 2013. |
| [2] | Diagnose and Decide: An Optimal Bayesian Approach (), In Proceedings of the Workshop on Bayesian Optimization and Decision Making at NIPS 2012, 2012. |
| [1] | Scaling Up Decentralized MDPs Through Heuristic Search (), In Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012. |
| [3] | Scaling Up Optimal Heuristic Search in Dec-POMDPs via Incremental Expansion (), In Proceedings of the International Joint Conference on Artificial Intelligence, 2011. |
| [2] | DetH*: approximate Hierarchical Solution of Large Markov Decision Processes (), In International Joint Conference on Artificial Intelligence (IJCAI), 2011. |
| [1] | Bayesian Policy Search with Policy Priors (), In International Joint Conference on Artificial Intelligence (IJCAI), 2011. |
| [1] | Planning in partially observable switching-mode continuous domains (), In Annals of Mathematics and Artificial Intelligence, 2010. |
| [2] | Envelope-based Planning in Relational MDPs (), In NIPS, volume 16, 2004. |
| [1] | Approximate Planning in POMDPs with Macro-Actions (), In Advances in Neural Information Processing Systems 16 (NIPS03), 2004. |
| [1] | Nearly deterministic abstractions of Markov decision processes (), In 18th National Conference on Artificial Intelligence, 2002. |
| [1] | A Framework for Multiple Instance Learning (), In Advances in Neural Information Processing Systems 10, 1998. |
| [1] | Solving the multiple instance problem with axis-parallel rectangles (), In Artificial Intelligence, volume 89, 1997. |
| [3] | Embodied Lifelong Learning for Task and Motion Planning (), In Proceedings of the 7th Conference on Robot Learning (CoRL-23), 2023. |
| [2] | Continual Improvement of Threshold-Based Novelty Detection (), In CoLLAs-23 Workshop Track, 2023. |
| [1] | How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition (), In Transactions on Machine Learning Research (TMLR), 2023. |
| [3] | A large-scale benchmark for few-shot program induction and synthesis (), In ICML, 2021. |
| [2] | Noether networks: meta-learning useful conserved quantities (), In NeurIPS, 2021. |
| [1] | Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time (), In NeurIPS, 2021. |
| [1] | Effective, interpretable algorithms for curiosity automatically discovered by evolutionary search (), MIT, 2020. |
| [3] | Neural Relational Inference with Fast Modular Meta-learning (), In Advances in Neural Information Processing Systems 32, 2019. |
| [2] | Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video (), In International Conference on Intelligent Robots and Systems (IROS), 2019. |
| [1] | Graph Element Networks: adaptive, structured computation and memory (), In Proceedings of the 36th International Conference on Machine Learning, volume 97, 2019. |
| [1] | Modular meta-learning (), In Conference on Robot Learning (CoRL), 2018. |
| [1] | Transfer Learning by Discovering Latent Task Parametrizations (), In NIPS 2012 Workshop on Bayesian Nonparametric Models for Reliable Planning And Decision-Making Under Uncertainty, 2012. |
| [2] | Learning Probabilistic Relational Dynamics for Multiple Tasks (), In Conference on Uncertainty in Artificial Intelligence (UAI), 2007. |
| [1] | Efficient Bayesian Task-level Transfer Learning (), In International Joint Conference on Artificial Intelligence (IJCAI), 2007. |
| [1] | Transfer Learning with an Ensemble of Background Tasks (), In NIPS Workshop on Inductive Transfer, 2005. |
| [2] | Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation (), In Conference on Robot Learning (CoRL), 2023. |
| [1] | Local Neural Descriptor Fields: Locally Conditioned Object Representations for Manipulation (), In IEEE/RSJ International Conference on Robotics and Automation (ICRA), 2023. |
| [1] | Force-And-Motion Constrained Planning for Tool Use (), In International Conference on Intelligent Robots and Systems (IROS), 2019. |
| [3] | Robust grasping under object pose uncertainty (), In Autonomous Robots, volume 31, 2011. |
| [2] | Efficient planning in non-Gaussian belief spaces and its application to robot grasping (), In International Symposium on Robotics Research (ISRR), 2011. |
| [1] | Efficient planning in non-Gaussian belief spaces and its application to robot grasping (), In International Symposium on Robotics Research (ISRR), 2011. |
| [1] | Task-driven Tactile Exploration (), In Robotics Science and Systems (RSS), 2010. |
| [1] | Robust Belief-Based Execution of Manipulation Programs (), In Eighth International Workshop on the Algorithmic Foundations of Robotics (WAFR), 2008. |
| [1] | Grasping POMDPs (), In IEEE International Conference on Robotics and Automation, 2007. |
| [1] | Imitation Learning of Whole-Body Grasps (), In IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS), 2006. |
| [1] | Continual Improvement of Threshold-Based Novelty Detection (), In CoLLAs-23 Workshop Track, 2023. |
| [1] | Bingham Procrustean Alignment for Object Detection in Clutter (), In IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013. |
| [1] | Monte Carlo Pose Estimation with Quaternion Kernels and the Bingham Distribution (), In Proceedings of Robotics: Science and Systems, 2011. |
| [1] | Learning to Generate Novel Views of Objects for Class Recognition. (), In Computer Vision and Image Understanding, 2009. |
| [1] | Virtual Training for Multi-View Object Class Recognition. (), In CVPR, 2007. |
| [1] | Effective, interpretable algorithms for curiosity automatically discovered by evolutionary search (), MIT, 2020. |
| [1] | 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. |
| [1] | CAPIR: Collaborative Action Planning with Intention Recognition (), In Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE), 2011. |
| [1] | Protein side-chain placement through MAP estimation andproblem-size reduction (), In 6th Workshop on Algorithms in Bioinformatics(WABI), 2006. |
| [1] | 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. |
| [1] | AmbiPack: a systematic algorithm for packing of macromolecular structures withambiguous distance constraints (), In Proteins, volume 32, 1998. |