Reinforcement Learning

Learning to Control Camera Exposure via Reinforcement Learning CVPR 2024 Learning to Retrieve Iteratively for In-Context Learning EMNLP 2024 Learning to Trust Your Feelings: Leveraging Self-awareness in LLMs for Hallucination Mitigation ACL 2024 Learning World Models for Unconstrained Goal Navigation NeurIPS 2024 Learn to Follow: Decentralized Lifelong Multi-Agent Pathfinding via Planning and Learning AAAI 2024 Leveraging Separated World Model for Exploration in Visually Distracted Environments NeurIPS 2024 LIRE: listwise reward enhancement for preference alignment ACL 2024 LM2: A Simple Society of Language Models Solves Complex Reasoning EMNLP 2024 Long-Term Safe Reinforcement Learning with Binary Feedback AAAI 2024 MACAROON: Training Vision-Language Models To Be Your Engaged Partners EMNLP 2024 MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial Optimization IJCAI 2024 Maximum entropy GFlowNets with soft Q-learning AISTATS 2024 Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL) JMLR 2024 Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning NeurIPS 2024 Mitigating Open-Vocabulary Caption Hallucinations EMNLP 2024 Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy NeurIPS 2024 Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation NeurIPS 2024 Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models EMNLP 2024 Model-based Diffusion for Trajectory Optimization NeurIPS 2024 Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation NeurIPS 2024 M-RAG: Reinforcing Large Language Model Performance through Retrieval-Augmented Generation with Multiple Partitions ACL 2024 Multimodal Large Language Models Make Text-to-Image Generative Models Align Better NeurIPS 2024 Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models EMNLP 2024 No Prior Mask: Eliminate Redundant Action for Deep Reinforcement Learning AAAI 2024 No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO NeurIPS 2024