Policy Learning

Active Policy Improvement from Multiple Black-box Oracles ICML 2023 Actor-Critic Alignment for Offline-to-Online Reinforcement Learning ICML 2023 Adaptive Barrier Smoothing for First-Order Policy Gradient with Contact Dynamics ICML 2023 Adaptive Estimation Q-learning with Uncertainty and Familiarity IJCAI 2023 Adaptive Policy Learning for Offline-to-Online Reinforcement Learning AAAI 2023 Adaptive Reward Shifting Based on Behavior Proximity for Offline Reinforcement Learning IJCAI 2023 A Definition of Continual Reinforcement Learning NeurIPS 2023 A Fair Incentive Scheme for Community Health Workers AAAI 2023 A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning JMLR 2023 Algorithm for Constrained Markov Decision Process with Linear Convergence AISTATS 2023 An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient NeurIPS 2023 A New Challenge in Policy Evaluation AAAI 2023 A Novel Framework for Policy Mirror Descent with General Parameterization and Linear Convergence NeurIPS 2023 Anytime-Competitive Reinforcement Learning with Policy Prior NeurIPS 2023 A policy gradient approach for optimization of smooth risk measures UAI 2023 A Policy Optimization Method Towards Optimal-time Stability CoRL 2023 A Pragmatic Look at Deep Imitation Learning ACML 2023 A Reinforcement Learning Look at Risk-Sensitive Linear Quadratic Gaussian Control L4DC 2023 A Risk-Sensitive Approach to Policy Optimization AAAI 2023 ASAP: Attention-Based State Space Abstraction for Policy Summarization ACML 2023 A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories NeurIPS 2023 Assessing the Impact of Context Inference Error and Partial Observability on RL Methods for Just-In-Time Adaptive Interventions UAI 2023 A Theoretical Analysis of Optimistic Proximal Policy Optimization in Linear Markov Decision Processes NeurIPS 2023 A Tighter Problem-Dependent Regret Bound for Risk-Sensitive Reinforcement Learning AISTATS 2023 Augmented Proximal Policy Optimization for Safe Reinforcement Learning AAAI 2023