Deep RL

Variable Impedance Control - A Reinforcement Learning Approach RSS 2010 Variational methods for Reinforcement Learning AISTATS 2010 A Generalized Natural Actor-Critic Algorithm NeurIPS 2009 Bootstrapping from Game Tree Search NeurIPS 2009 Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation 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 Robust Value Function Approximation Using Bilinear Programming NeurIPS 2009 Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining NeurIPS 2009 The Infinite Partially Observable Markov Decision Process NeurIPS 2009 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 Use Working Memory in Partially Observable Environments through Dopaminergic Reinforcement NeurIPS 2008 Multi-resolution Exploration in Continuous Spaces NeurIPS 2008 Near-optimal Regret Bounds for Reinforcement Learning NeurIPS 2008 Optimization on a Budget: A Reinforcement Learning Approach NeurIPS 2008 Particle Filter-based Policy Gradient in POMDPs NeurIPS 2008 Psychiatry: Insights into depression through normative decision-making models NeurIPS 2008 SARSOP: Efficient Point-Based POMDP Planning by Approximating Optimally Reachable Belief Spaces RSS 2008 Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms NeurIPS 2008 Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning NeurIPS 2008 Structure Learning in Human Sequential Decision-Making NeurIPS 2008