Reinforcement Learning

ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search NeurIPS 2024 Rethinking Discount Regularization: New Interpretations, Unintended Consequences, and Solutions for Regularization in Reinforcement Learning JMLR 2024 Rethinking Exploration in Reinforcement Learning with Effective Metric-Based Exploration Bonus NeurIPS 2024 Rethinking Inverse Reinforcement Learning: from Data Alignment to Task Alignment NeurIPS 2024 Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual Alignment EMNLP 2024 Rewarding What Matters: Step-by-Step Reinforcement Learning for Task-Oriented Dialogue EMNLP 2024 Reward (Mis)design for Autonomous Driving (Abstract Reprint) AAAI 2024 Reward Modeling Requires Automatic Adjustment Based on Data Quality EMNLP 2024 Reward Penalties on Augmented States for Solving Richly Constrained RL Effectively AAAI 2024 RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting AAAI 2024 RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space NeurIPS 2024 Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures AAAI 2024 Risk-sensitive control as inference with Rényi divergence NeurIPS 2024 RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation NeurIPS 2024 RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold NeurIPS 2024 RL-SeqISP: Reinforcement Learning-Based Sequential Optimization for Image Signal Processing AAAI 2024 Robust Offline Reinforcement Learning with Heavy-Tailed Rewards AISTATS 2024 Robust Reinforcement Learning with General Utility NeurIPS 2024 Robust Visual Imitation Learning with Inverse Dynamics Representations AAAI 2024 RS-DPO: A Hybrid Rejection Sampling and Direct Preference Optimization Method for Alignment of Large Language Models NAACL 2024 Safe and Efficient: A Primal-Dual Method for Offline Convex CMDPs under Partial Data Coverage NeurIPS 2024 Safe and Interpretable Estimation of Optimal Treatment Regimes AISTATS 2024 SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies AAAI 2024 Safe Reinforcement Learning with Instantaneous Constraints: The Role of Aggressive Exploration AAAI 2024 Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning NeurIPS 2024