Policy Learning

Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism ICML 2020 Reinforcement Learning Framework for Deep Brain Stimulation Study IJCAI 2020 Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance AAAI 2020 Reinforcement Learning in Continuous Time and Space: A Stochastic Control Approach JMLR 2020 Reinforcement Learning of Risk-Constrained Policies in Markov Decision Processes AAAI 2020 Reinforcement Learning When All Actions Are Not Always Available AAAI 2020 Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives ICLR 2020 Reinforcement Learning with Non-Markovian Rewards AAAI 2020 Rethinking Supervised Learning and Reinforcement Learning in Task-Oriented Dialogue Systems EMNLP 2020 Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement NeurIPS 2020 Risk-Averse Trust Region Optimization for Reward-Volatility Reduction IJCAI 2020 Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret NeurIPS 2020 R-learning in actor-critic model offers a biologically relevant mechanism for sequential decision-making NeurIPS 2020 Root-n-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank COLT 2020 Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences ICML 2020 Safe Policy Learning for Continuous Control CoRL 2020 Safe Reinforcement Learning in Constrained Markov Decision Processes ICML 2020 Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction NeurIPS 2020 Sample Complexity of Estimating the Policy Gradient for Nearly Deterministic Dynamical Systems AISTATS 2020 Sample Efficient Policy Gradient Methods with Recursive Variance Reduction ICLR 2020 Scalable Methods for Computing State Similarity in Deterministic Markov Decision Processes AAAI 2020 Semi-Supervised Dialogue Policy Learning via Stochastic Reward Estimation ACL 2020 Sparse Tree Search Optimality Guarantees in POMDPs with Continuous Observation Spaces IJCAI 2020 Stable Policy Optimization via Off-Policy Divergence Regularization UAI 2020 State Alignment-based Imitation Learning ICLR 2020