Applications

Monte Carlo Sampling for Regret Minimization in Extensive Games NeurIPS 2009 Policy search via the signed derivative RSS 2009 Provably Efficient Learning with Typed Parametric Models JMLR 2009 Robust Value Function Approximation Using Bilinear Programming NeurIPS 2009 Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining NeurIPS 2009 Solving Stochastic Games NeurIPS 2009 Adaptive Body Scheme Models for Robust Robotic Manipulation RSS 2008 A Numerically Robust LCP Solver for Simulating Articulated Rigid Bodies in Contact RSS 2008 Bayesian Kernel Shaping for Learning Control NeurIPS 2008 BiSpace Planning: Concurrent Multi-Space Exploration RSS 2008 Dynamic Modeling of Stick Slip Motion in an Untethered Magnetic Micro-Robot RSS 2008 Fitted Q-iteration by Advantage Weighted Regression NeurIPS 2008 High Performance Outdoor Navigation from Overhead Data using Imitation Learning RSS 2008 Learning to Combine Motor Primitives Via Greedy Additive Regression JMLR 2008 Learning to Manipulate Articulated Objects in Unstructured Environments Using a Grounded Relational Representation RSS 2008 Local Gaussian Process Regression for Real Time Online Model Learning NeurIPS 2008 Multi-Agent Reinforcement Learning in Common Interest and Fixed Sum Stochastic Games: An Experimental Study JMLR 2008 Multi-task Gaussian Process Learning of Robot Inverse Dynamics NeurIPS 2008 Policy Search for Motor Primitives in Robotics NeurIPS 2008 SARSOP: Efficient Point-Based POMDP Planning by Approximating Optimally Reachable Belief Spaces RSS 2008 Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning NeurIPS 2008 Using Bayesian Dynamical Systems for Motion Template Libraries NeurIPS 2008 Value Function Based Reinforcement Learning in Changing Markovian Environments JMLR 2008 Active Policy Learning for Robot Planning and Exploration under Uncertainty RSS 2007 A Discrete Geometric Optimal Control Framework for Systems with Symmetries RSS 2007