reinforcement learning

4122 papers

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Also known as

RLVR HARL GRPO RL PPO REINFORCE RFT DRL RL NULL LQR RLHF

Co-occurring keywords

large language model (12755) policy learning (699) markov decision process (788) policy gradient (518) policy optimization (630) deep reinforcement learning (903) multi-agent system (1743) imitation learning (741) regret bound (1918) language model (4573)

Papers

ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation AAAI 2024

Prompt-Based Length Controlled Generation with Multiple Control Types ACL 2024

Learn to Follow: Decentralized Lifelong Multi-Agent Pathfinding via Planning and Learning AAAI 2024

A Grounded Preference Model for LLM Alignment ACL 2024

Teaching Language Models to Self-Improve by Learning from Language Feedback ACL 2024

Rethinking the Role of Proxy Rewards in Language Model Alignment EMNLP 2024

Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games AAAI 2024

If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions EMNLP 2024

Reinforced Adaptive Knowledge Learning for Multimodal Fake News Detection AAAI 2024

Unveiling the Art of Heading Design: A Harmonious Blend of Summarization, Neology, and Algorithm ACL 2024

Reinforcement Learning and Data-Generation for Syntax-Guided Synthesis AAAI 2024

Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach JMLR 2024

Rating-Based Reinforcement Learning AAAI 2024

BAMBINO-LM: (Bilingual-)Human-Inspired Continual Pre-training of BabyLM ACL 2024

RePALM: Popular Quote Tweet Generation via Auto-Response Augmentation ACL 2024

A General Theoretical Paradigm to Understand Learning from Human Preferences AISTATS 2024

A Cubic-regularized Policy Newton Algorithm for Reinforcement Learning AISTATS 2024

Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems EMNLP 2024

Horizon-Free and Instance-Dependent Regret Bounds for Reinforcement Learning with General Function Approximation AISTATS 2024

Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition AISTATS 2024

Resilient Constrained Reinforcement Learning AISTATS 2024

ABLE: Personalized Disability Support with Politeness and Empathy Integration EMNLP 2024

On learning history-based policies for controlling Markov decision processes AISTATS 2024

A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitrary Opponent AISTATS 2024

Adversarial Preference Optimization: Enhancing Your Alignment via RM-LLM Game ACL 2024