Reinforcement Learning

Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf NeurIPS 2024 Learning to Make Adherence-aware Advice ICLR 2024 Learning to Navigate Efficiently and Precisely in Real Environments CVPR 2024 Learning to Retrieve Iteratively for In-Context Learning EMNLP 2024 Learning to Select Views for Efficient Multi-View Understanding CVPR 2024 Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming AAAI 2024 Learning Uncertainty-Aware Temporally-Extended Actions AAAI 2024 Learning Versatile Skills with Curriculum Masking NeurIPS 2024 Learning World Models for Unconstrained Goal Navigation NeurIPS 2024 LeDex: Training LLMs to Better Self-Debug and Explain Code NeurIPS 2024 Let Me Teach You: Pedagogical Foundations of Feedback for Language Models EMNLP 2024 Leveraging Separated World Model for Exploration in Visually Distracted Environments NeurIPS 2024 Limited Query Graph Connectivity Test AAAI 2024 Linear Bellman Completeness Suffices for Efficient Online Reinforcement Learning with Few Actions COLT 2024 LIONs: An Empirically Optimized Approach to Align Language Models EMNLP 2024 LLM Evaluators Recognize and Favor Their Own Generations NeurIPS 2024 LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error ACL 2024 Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs NeurIPS 2024 Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning JMLR 2024 Long-Term Safe Reinforcement Learning with Binary Feedback AAAI 2024 Low-rank MDPs with Continuous Action Spaces AISTATS 2024 MANDREL: Modular Reinforcement Learning Pipelines for Material Discovery AAAI 2024 Maximum Entropy Model Correction in Reinforcement Learning ICLR 2024 Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow NeurIPS 2024 mDPO: Conditional Preference Optimization for Multimodal Large Language Models EMNLP 2024