Policy Learning

Primal-dual Learning for the Model-free Risk-constrained Linear Quadratic Regulator L4DC 2021 Procedure Planning in Instructional Videos via Contextual Modeling and Model-Based Policy Learning ICCV 2021 Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning NeurIPS 2021 Provable Hierarchical Imitation Learning via EM AISTATS 2021 Provably Correct Optimization and Exploration with Non-linear Policies ICML 2021 Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping ICML 2021 Provably Efficient Safe Exploration via Primal-Dual Policy Optimization AISTATS 2021 Provably Safe PAC-MDP Exploration Using Analogies AISTATS 2021 PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning ICML 2021 Q-learning with Logarithmic Regret AISTATS 2021 Quantifying Differences in Reward Functions ICLR 2021 Randomized Exploration in Reinforcement Learning with General Value Function Approximation ICML 2021 Ranking Policy Decisions NeurIPS 2021 ReAgent: Point Cloud Registration Using Imitation and Reinforcement Learning CVPR 2021 Redundancy Resolution as Action Bias in Policy Search for Robotic Manipulation CoRL 2021 Refine and Imitate: Reducing Repetition and Inconsistency in Persuasion Dialogues via Reinforcement Learning and Human Demonstration EMNLP 2021 Regularized Policies are Reward Robust AISTATS 2021 Reinforce-Aligner: Reinforcement Alignment Search for Robust End-to-End Text-to-Speech Interspeech 2021 Reinforcement Learning for Constrained Markov Decision Processes AISTATS 2021 Reinforcement Learning for Cost-Aware Markov Decision Processes ICML 2021 Reinforcement learning for optimization of variational quantum circuit architectures NeurIPS 2021 Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection NeurIPS 2021 Reinforcement Learning in Parametric MDPs with Exponential Families AISTATS 2021 Reinforcement Learning Under Moral Uncertainty ICML 2021 Reinforcement Learning with Random Delays ICLR 2021