Policy Learning

Performance Bounds for Policy-Based Average Reward Reinforcement Learning Algorithms NeurIPS 2023 Performative Reinforcement Learning ICML 2023 PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks NeurIPS 2023 Planning and Learning with Adaptive Lookahead AAAI 2023 Policy-Based Primal-Dual Methods for Convex Constrained Markov Decision Processes AAAI 2023 Policy-based Reinforcement Learning for Generalisation in Interactive Text-based Environments EACL 2023 Policy Contrastive Imitation Learning ICML 2023 Policy Evaluation in Distributional LQR L4DC 2023 Policy Expansion for Bridging Offline-to-Online Reinforcement Learning ICLR 2023 Policy Gradient for Rectangular Robust Markov Decision Processes NeurIPS 2023 Policy Gradient in Robust MDPs with Global Convergence Guarantee ICML 2023 Policy Gradient Methods Find the Nash Equilibrium in N-player General-sum Linear-quadratic Games JMLR 2023 Policy Gradient Play with Networked Agents in Markov Potential Games L4DC 2023 Policy Learning for Active Target Tracking over Continuous $SE(3)$ Trajectories L4DC 2023 Policy Optimization for Continuous Reinforcement Learning NeurIPS 2023 Policy Regularization with Dataset Constraint for Offline Reinforcement Learning ICML 2023 Posterior Sampling for Deep Reinforcement Learning ICML 2023 Practical Critic Gradient based Actor Critic for On-Policy Reinforcement Learning L4DC 2023 Preserving Privacy Through Dememorization: An Unlearning Technique For Mitigating Memorization Risks In Language Models EMNLP 2023 Prioritizing Samples in Reinforcement Learning with Reducible Loss NeurIPS 2023 Provable Hierarchy-Based Meta-Reinforcement Learning AISTATS 2023 Provable Reset-free Reinforcement Learning by No-Regret Reduction ICML 2023 Provable Safe Reinforcement Learning with Binary Feedback AISTATS 2023 Provably Efficient Adversarial Imitation Learning with Unknown Transitions UAI 2023 Provably Efficient Algorithm for Nonstationary Low-Rank MDPs NeurIPS 2023