Methods

Improving Existing Fault Recovery Policies NeurIPS 2009 Learning to Explore and Exploit in POMDPs NeurIPS 2009 Manifold Embeddings for Model-Based Reinforcement Learning under Partial Observability NeurIPS 2009 Multi-Step Dyna Planning for Policy Evaluation and Control NeurIPS 2009 Multi-task Reinforcement Learning in Partially Observable Stochastic Environments JMLR 2009 Policy search via the signed derivative RSS 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 The Infinite Partially Observable Markov Decision Process NeurIPS 2009 Transfer Learning for Reinforcement Learning Domains: A Survey JMLR 2009 Accelerated Neural Evolution through Cooperatively Coevolved Synapses JMLR 2008 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 Fitted Q-iteration by Advantage Weighted Regression NeurIPS 2008 Learning to Manipulate Articulated Objects in Unstructured Environments Using a Grounded Relational Representation RSS 2008 Learning to Use Working Memory in Partially Observable Environments through Dopaminergic Reinforcement NeurIPS 2008 MDPs with Non-Deterministic Policies NeurIPS 2008 Multi-Agent Reinforcement Learning in Common Interest and Fixed Sum Stochastic Games: An Experimental Study JMLR 2008 Multi-resolution Exploration in Continuous Spaces NeurIPS 2008 Multi-task Gaussian Process Learning of Robot Inverse Dynamics NeurIPS 2008 Near-optimal Regret Bounds for Reinforcement Learning NeurIPS 2008 Optimization on a Budget: A Reinforcement Learning Approach NeurIPS 2008