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

Towards a Zero-Data, Controllable, Adaptive Dialog System COLING 2024

Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations AAAI 2024

An Approach towards Unsupervised Text Simplification on Paragraph-Level for German Texts COLING 2024

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

TARN-VIST: Topic Aware Reinforcement Network for Visual Storytelling COLING 2024

Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement CVPR 2024

ReCoRe: Regularized Contrastive Representation Learning of World Model CVPR 2024

Opponent Modeling based on Subgoal Inference NIPS 2024

TaxoCritic: Exploring Credit Assignment in Taxonomy Induction with Multi-Critic Reinforcement Learning COLING 2024

Combining Supervised Learning and Reinforcement Learning for Multi-Label Classification Tasks with Partial Labels ACL 2024

SOTOPIA-π: Interactive Learning of Socially Intelligent Language Agents ACL 2024

A large deviations perspective on policy gradient algorithms L4DC 2024

JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialogue Policy Learning COLING 2024

PRIMO: Progressive Induction for Multi-hop Open Rule Generation COLING 2024

Exploration by Learning Diverse Skills through Successor State Representations NIPS 2024

QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers NIPS 2024

PopALM: Popularity-Aligned Language Models for Social Media Trendy Response Prediction COLING 2024

AGR: Reinforced Causal Agent-Guided Self-explaining Rationalization ACL 2024

Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL NIPS 2024

ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation AAAI 2024

FactorSim: Generative Simulation via Factorized Representation NIPS 2024

Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability NIPS 2024

Improving Language Model Reasoning with Self-motivated Learning COLING 2024

Reinforced Cross-Domain Knowledge Distillation on Time Series Data NIPS 2024

vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement IJCAI 2024