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Reinforcement Learning

1263 directly classified papers

Papers per year

Papers

Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning ACL 2024
Enhancing Numerical Reasoning with the Guidance of Reliable Reasoning Processes ACL 2024
Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents ACL 2024
AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning CVPR 2024
ChiMed-GPT: A Chinese Medical Large Language Model with Full Training Regime and Better Alignment to Human Preferences ACL 2024
Instance-aware Exploration-Verification-Exploitation for Instance ImageGoal Navigation CVPR 2024
Training Language Models to Generate Text with Citations via Fine-grained Rewards ACL 2024
InstructVideo: Instructing Video Diffusion Models with Human Feedback CVPR 2024
M-RAG: Reinforcing Large Language Model Performance through Retrieval-Augmented Generation with Multiple Partitions ACL 2024
Aligning Large Language Models via Fine-grained Supervision ACL 2024
Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference Data EMNLP 2024
MACAROON: Training Vision-Language Models To Be Your Engaged Partners EMNLP 2024
Proofread: Fixes All Errors with One Tap ACL 2024
Carbon Footprint Reduction for Sustainable Data Centers in Real-Time AAAI 2024
Reward Certification for Policy Smoothed Reinforcement Learning AAAI 2024
Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning EMNLP 2024
Two-Stage Evolutionary Reinforcement Learning for Enhancing Exploration and Exploitation AAAI 2024
Robust Communicative Multi-Agent Reinforcement Learning with Active Defense AAAI 2024
Learn to Follow: Decentralized Lifelong Multi-Agent Pathfinding via Planning and Learning AAAI 2024
GDPO: Learning to Directly Align Language Models with Diversity Using GFlowNets EMNLP 2024
PMAC: Personalized Multi-Agent Communication AAAI 2024
TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient AAAI 2024
ConcaveQ: Non-monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning AAAI 2024
Coffee-Gym: An Environment for Evaluating and Improving Natural Language Feedback on Erroneous Code EMNLP 2024
Situation-Dependent Causal Influence-Based Cooperative Multi-Agent Reinforcement Learning AAAI 2024