Policy Learning

Policy Gradient Coagent Networks NeurIPS 2011 Relative Entropy Inverse Reinforcement Learning AISTATS 2011 Speedy Q-Learning NeurIPS 2011 The Fixed Points of Off-Policy TD NeurIPS 2011 A Convergent Online Single Time Scale Actor Critic Algorithm JMLR 2010 Adaptive Step-size Policy Gradients with Average Reward Metric ACML 2010 A Generalized Path Integral Control Approach to Reinforcement Learning JMLR 2010 A POMDP Extension with Belief-dependent Rewards NeurIPS 2010 A Reduction from Apprenticeship Learning to Classification NeurIPS 2010 Bootstrapping Apprenticeship Learning NeurIPS 2010 Constructing Skill Trees for Reinforcement Learning Agents from Demonstration Trajectories NeurIPS 2010 Distributionally Robust Markov Decision Processes NeurIPS 2010 Double Q-learning NeurIPS 2010 Efficient Reductions for Imitation Learning AISTATS 2010 Error Propagation for Approximate Policy and Value Iteration NeurIPS 2010 Feature Construction for Inverse Reinforcement Learning NeurIPS 2010 Learning Policy Improvements with Path Integrals AISTATS 2010 Linear Complementarity for Regularized Policy Evaluation and Improvement NeurIPS 2010 LSTD with Random Projections NeurIPS 2010 Model-Free Monte Carlo-like Policy Evaluation AISTATS 2010 Natural Policy Gradient Methods with Parameter-based Exploration for Control Tasks NeurIPS 2010 Nonparametric Bayesian Policy Priors for Reinforcement Learning NeurIPS 2010 On a Connection between Importance Sampling and the Likelihood Ratio Policy Gradient NeurIPS 2010 Policy gradients in linearly-solvable MDPs NeurIPS 2010 Predictive State Temporal Difference Learning NeurIPS 2010