Policy Learning

Towards Efficient Exact Optimization of Language Model Alignment ICML 2024 Towards Global Optimality for Practical Average Reward Reinforcement Learning without Mixing Time Oracles ICML 2024 Towards Pareto-Efficient RLHF: Paying Attention to a Few High-Reward Samples with Reward Dropout EMNLP 2024 Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning NeurIPS 2024 Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning ICML 2024 TRIP NEGOTIATOR: A Travel Persona-aware Reinforced Dialogue Generation Model for Personalized Integrative Negotiation in Tourism EMNLP 2024 Trustworthy Alignment of Retrieval-Augmented Large Language Models via Reinforcement Learning ICML 2024 Twisting Lids Off with Two Hands CoRL 2024 Uncertainty-Aware Reward-Free Exploration with General Function Approximation ICML 2024 Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning AAAI 2024 View-Invariant Policy Learning via Zero-Shot Novel View Synthesis CoRL 2024 Virtual Action Actor-Critic Framework for Exploration (Student Abstract) AAAI 2024 Vision-Language Navigation with Energy-Based Policy NeurIPS 2024 vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement IJCAI 2024 WARM: On the Benefits of Weight Averaged Reward Models ICML 2024 Warm-up Free Policy Optimization: Improved Regret in Linear Markov Decision Processes NeurIPS 2024 Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems EMNLP 2024 When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL NeurIPS 2024 When to Trust LLMs: Aligning Confidence with Response Quality ACL 2024 When Your AIs Deceive You: Challenges of Partial Observability in Reinforcement Learning from Human Feedback NeurIPS 2024 Why Do Animals Need Shaping? A Theory of Task Composition and Curriculum Learning ICML 2024 XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX NeurIPS 2024 A Bayesian Approach to Robust Inverse Reinforcement Learning CoRL 2023 Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm AAAI 2023 A Connection between One-Step RL and Critic Regularization in Reinforcement Learning ICML 2023