Reinforcement Learning

A General Theoretical Paradigm to Understand Learning from Human Preferences AISTATS 2024 AGILE: A Novel Reinforcement Learning Framework of LLM Agents NeurIPS 2024 ALaRM: Align Language Models via Hierarchical Rewards Modeling ACL 2024 Aligning Large Language Models via Fine-grained Supervision ACL 2024 Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms NeurIPS 2024 AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning CVPR 2024 AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers NeurIPS 2024 Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection NeurIPS 2024 Applying RLAIF for Code Generation with API-usage in Lightweight LLMs ACL 2024 ARES: Alternating Reinforcement Learning and Supervised Fine-Tuning for Enhanced Multi-Modal Chain-of-Thought Reasoning Through Diverse AI Feedback EMNLP 2024 A Training Data Recipe to Accelerate A* Search with Language Models EMNLP 2024 Automated Multi-level Preference for MLLMs NeurIPS 2024 Back to Basics: Revisiting REINFORCE-Style Optimization for Learning from Human Feedback in LLMs ACL 2024 Behaviour Distillation ICLR 2024 BPO: Staying Close to the Behavior LLM Creates Better Online LLM Alignment EMNLP 2024 Carbon Footprint Reduction for Sustainable Data Centers in Real-Time AAAI 2024 Catastrophic Goodhart: regularizing RLHF with KL divergence does not mitigate heavy-tailed reward misspecification NeurIPS 2024 ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles CVPR 2024 ChiMed-GPT: A Chinese Medical Large Language Model with Full Training Regime and Better Alignment to Human Preferences ACL 2024 CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges ACL 2024 Coffee-Gym: An Environment for Evaluating and Improving Natural Language Feedback on Erroneous Code EMNLP 2024 CoGen: Learning from Feedback with Coupled Comprehension and Generation EMNLP 2024 Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning NeurIPS 2024 ConcaveQ: Non-monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning AAAI 2024 Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning NeurIPS 2024