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

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

Large Language Model as a Policy Teacher for Training Reinforcement Learning Agents IJCAI 2024

TRIP NEGOTIATOR: A Travel Persona-aware Reinforced Dialogue Generation Model for Personalized Integrative Negotiation in Tourism EMNLP 2024

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

Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming AAAI 2024

Designs for Enabling Collaboration in Human-Machine Teaming via Interactive and Explainable Systems NIPS 2024

Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity NIPS 2024

Aligner²: Enhancing Joint Multiple Intent Detection and Slot Filling via Adjustive and Forced Cross-Task Alignment AAAI 2024

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

ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference AAAI 2024

When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL NIPS 2024

Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning NIPS 2024

Model-Based Transfer Learning for Contextual Reinforcement Learning NIPS 2024

PACE: Improving Prompt with Actor-Critic Editing for Large Language Model ACL 2024

DiffChat: Learning to Chat with Text-to-Image Synthesis Models for Interactive Image Creation ACL 2024

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

Robust exploration with adversary via Langevin Monte Carlo L4DC 2024

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

Sustainability of Data Center Digital Twins with Reinforcement Learning AAAI 2024

Recursive Introspection: Teaching Language Model Agents How to Self-Improve NIPS 2024

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

Reinforced Adaptive Knowledge Learning for Multimodal Fake News Detection AAAI 2024

On the Model-Misspecification in Reinforcement Learning AISTATS 2024

Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing NIPS 2024

Learning to Cooperate with Humans using Generative Agents NIPS 2024