Policy Learning

Admissible Policy Teaching through Reward Design AAAI 2022 A Dual Approach to Constrained Markov Decision Processes with Entropy Regularization AISTATS 2022 Adversarially Regularized Policy Learning Guided by Trajectory Optimization L4DC 2022 A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation NeurIPS 2022 A general class of surrogate functions for stable and efficient reinforcement learning AISTATS 2022 A general sample complexity analysis of vanilla policy gradient AISTATS 2022 A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement Learning AISTATS 2022 A Hierarchical Bayesian Approach to Inverse Reinforcement Learning with Symbolic Reward Machines ICML 2022 A Multi-Document Coverage Reward for RELAXed Multi-Document Summarization ACL 2022 An Alternate Policy Gradient Estimator for Softmax Policies AISTATS 2022 An Analytical Update Rule for General Policy Optimization ICML 2022 Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning NeurIPS 2022 A Parametric Class of Approximate Gradient Updates for Policy Optimization ICML 2022 A POMDP Dialogue Policy with 3-way Grounding and Adaptive Sensing for Learning through Communication EMNLP 2022 Approximate Information State for Approximate Planning and Reinforcement Learning in Partially Observed Systems JMLR 2022 A Provably-Efficient Model-Free Algorithm for Infinite-Horizon Average-Reward Constrained Markov Decision Processes AAAI 2022 Asking for Knowledge (AFK): Training RL Agents to Query External Knowledge Using Language ICML 2022 ASPiRe: Adaptive Skill Priors for Reinforcement Learning NeurIPS 2022 Asymmetric DQN for partially observable reinforcement learning UAI 2022 A Temporal-Difference Approach to Policy Gradient Estimation ICML 2022 A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning NeurIPS 2022 A Unified Framework for Alternating Offline Model Training and Policy Learning NeurIPS 2022 Balancing Sample Efficiency and Suboptimality in Inverse Reinforcement Learning ICML 2022 Batch size-invariance for policy optimization NeurIPS 2022 Beyond No Regret: Instance-Dependent PAC Reinforcement Learning COLT 2022