Planning

Active Policy Learning for Robot Planning and Exploration under Uncertainty RSS 2007 A Discrete Geometric Optimal Control Framework for Systems with Symmetries RSS 2007 A Game-Theoretic Approach to Apprenticeship Learning NeurIPS 2007 An Implicit Time-Stepping Method for Multibody Systems with Intermittent Contact RSS 2007 Bayes-Adaptive POMDPs NeurIPS 2007 Closed Loop Control of a Gravity-assisted Underactuated Robot Arm with Application to Aircraft Wing- RSS 2007 Discrete Search Leading Continuous Exploration for Kinodynamic Motion Planning RSS 2007 Exponential Family Predictive Representations of State NeurIPS 2007 Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion NeurIPS 2007 Mapping Large Loops with a Single Hand-Held Camera RSS 2007 Motion Strategies for Surveillance RSS 2007 Planning and Control of Meso-scale Manipulation Tasks with Uncertainties RSS 2007 Random Sampling of States in Dynamic Programming NeurIPS 2007 Scan Strategies for Meteorological Radars NeurIPS 2007 Theoretical Analysis of Heuristic Search Methods for Online POMDPs NeurIPS 2007 The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty RSS 2007 What makes some POMDP problems easy to approximate? NeurIPS 2007 An Approach to Bounded Rationality NeurIPS 2006 Automated Hierarchy Discovery for Planning in Partially Observable Environments NeurIPS 2006 Boosting Structured Prediction for Imitation Learning NeurIPS 2006 Development of Methodology for Design and Analysis of Physically Cooperating Robot and Applications to Other Robotic Systems RSS 2006 Integrated Planning and Control for Convex-bodied Nonholonomic systems using Local Feedback Control Policies RSS 2006 Learning Recursive Control Programs from Problem Solving JMLR 2006 Linearly-solvable Markov decision problems NeurIPS 2006 Multi-Robot Negotiation: Approximating the Set of Subgame Perfect Equilibria in General-Sum Stochastic Games NeurIPS 2006