Reinforcement Learning

A Generalized Natural Actor-Critic Algorithm NeurIPS 2009 Code-specific policy gradient rules for spiking neurons NeurIPS 2009 Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation NeurIPS 2009 Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning NeurIPS 2009 Improving Existing Fault Recovery Policies NeurIPS 2009 Learning to Explore and Exploit in POMDPs NeurIPS 2009 Monte Carlo Sampling for Regret Minimization in Extensive Games NeurIPS 2009 Multi-Step Dyna Planning for Policy Evaluation and Control NeurIPS 2009 POMDPs for robotic tasks with mixed observability RSS 2009 RL-Glue: Language-Independent Software for Reinforcement-Learning Experiments JMLR 2009 Robust Value Function Approximation Using Bilinear Programming NeurIPS 2009 Solving Stochastic Games NeurIPS 2009 The Infinite Partially Observable Markov Decision Process NeurIPS 2009 Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference NeurIPS 2009 A computational model of hippocampal function in trace conditioning NeurIPS 2008 A Convergent $O(n)$ Temporal-difference Algorithm for Off-policy Learning with Linear Function Approximation NeurIPS 2008 Biasing Approximate Dynamic Programming with a Lower Discount Factor NeurIPS 2008 Bounding Performance Loss in Approximate MDP Homomorphisms NeurIPS 2008 Bridging the Gap of Abstraction for Probabilistic Decision Making on a Multi-Modal Service Robot RSS 2008 Fitted Q-iteration by Advantage Weighted Regression NeurIPS 2008 Goal-directed decision making in prefrontal cortex: a computational framework NeurIPS 2008 Hebbian Learning of Bayes Optimal Decisions NeurIPS 2008 Learning to Manipulate Articulated Objects in Unstructured Environments Using a Grounded Relational Representation RSS 2008 MDPs with Non-Deterministic Policies NeurIPS 2008 Multi-resolution Exploration in Continuous Spaces NeurIPS 2008