Policy Learning

Provably Efficient Offline Goal-Conditioned Reinforcement Learning with General Function Approximation and Single-Policy Concentrability NeurIPS 2023 Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints AAAI 2023 Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path ICLR 2023 Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL ICML 2023 Q-Learning for MDPs with General Spaces: Convergence and Near Optimality via Quantization under Weak Continuity JMLR 2023 Quantile Credit Assignment ICML 2023 Quantum Policy Gradient Algorithm with Optimized Action Decoding ICML 2023 Reaching Goals is Hard: Settling the Sample Complexity of the Stochastic Shortest Path ALT 2023 Reader: Model-based language-instructed reinforcement learning EMNLP 2023 Recovering from Out-of-sample States via Inverse Dynamics in Offline Reinforcement Learning NeurIPS 2023 Refined Regret for Adversarial MDPs with Linear Function Approximation ICML 2023 Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible Plans NeurIPS 2023 Regret Bounds for Markov Decision Processes with Recursive Optimized Certainty Equivalents ICML 2023 Regret Minimization via Saddle Point Optimization NeurIPS 2023 Regularity as Intrinsic Reward for Free Play NeurIPS 2023 Reinforced Sequence Training based Subjective Bias Correction EACL 2023 Reinforced Target-driven Conversational Promotion EMNLP 2023 Reinforcement Learning Can Be More Efficient with Multiple Rewards ICML 2023 Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space ICML 2023 Reinforcement Learning with History Dependent Dynamic Contexts ICML 2023 Reinforcement Learning with Stepwise Fairness Constraints AISTATS 2023 Reinforcement Replaces Supervision: Query focused Summarization using Deep Reinforcement Learning EMNLP 2023 ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs ICML 2023 Reparameterized Policy Learning for Multimodal Trajectory Optimization ICML 2023 Representation-Driven Reinforcement Learning ICML 2023