Reinforcement Learning

Exploiting Variable Stiffness in Explosive Movement Tasks RSS 2011 Friendly Patrolling: A Model of Natural Encounters RSS 2011 Generalized TD Learning JMLR 2011 Global Motion Planning under Uncertain Motion, Sensing, and Environment Map RSS 2011 Global Optimization of Robotic Grasps RSS 2011 Identification and Representation of Homotopy Classes of Trajectories for Search-based Path Planning in 3D RSS 2011 Improving Policy Gradient Estimates with Influence Information ACML 2011 Infinite-Horizon Model Predictive Control for Periodic Tasks with Contacts RSS 2011 Learning to Agglomerate Superpixel Hierarchies NeurIPS 2011 Learning to Control a Low-Cost Manipulator using Data-Efficient Reinforcement Learning RSS 2011 MAP Inference for Bayesian Inverse Reinforcement Learning NeurIPS 2011 Monte Carlo Value Iteration with Macro-Actions NeurIPS 2011 Motion Planning Under Uncertainty In Highly Deformable Environments RSS 2011 Multi-armed bandits on implicit metric spaces NeurIPS 2011 Nonlinear Inverse Reinforcement Learning with Gaussian Processes NeurIPS 2011 On Strategy Stitching in Large Extensive Form Multiplayer Games NeurIPS 2011 Operational Space Control of Constrained and Underactuated Systems RSS 2011 Optimal Reinforcement Learning for Gaussian Systems NeurIPS 2011 Periodic Finite State Controllers for Efficient POMDP and DEC-POMDP Planning NeurIPS 2011 Policy Gradient Coagent Networks NeurIPS 2011 Predicting Dynamic Difficulty NeurIPS 2011 Reinforcement Learning using Kernel-Based Stochastic Factorization NeurIPS 2011 Relative Entropy Inverse Reinforcement Learning AISTATS 2011 Robust Approximate Bilinear Programming for Value Function Approximation JMLR 2011 Selecting the State-Representation in Reinforcement Learning NeurIPS 2011