reinforcement learning

Nonparametric Bayesian Policy Priors for Reinforcement Learning NeurIPS 2010 On a Connection between Importance Sampling and the Likelihood Ratio Policy Gradient NeurIPS 2010 PAC-Bayesian Model Selection for Reinforcement Learning NeurIPS 2010 Policy gradients in linearly-solvable MDPs NeurIPS 2010 Predictive State Temporal Difference Learning NeurIPS 2010 Reinforcement Learning to adjust Robot Movements to New Situations RSS 2010 Reward Design via Online Gradient Ascent NeurIPS 2010 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 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 Manifold Embeddings for Model-Based Reinforcement Learning under Partial Observability NeurIPS 2009 Policy search via the signed derivative RSS 2009 RL-Glue: Language-Independent Software for Reinforcement-Learning Experiments 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 Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference NeurIPS 2009 Transfer Learning for Reinforcement Learning Domains: A Survey JMLR 2009 Accelerated Neural Evolution through Cooperatively Coevolved Synapses JMLR 2008