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

BPO: Staying Close to the Behavior LLM Creates Better Online LLM Alignment EMNLP 2024

Don’t Forget Your Reward Values: Language Model Alignment via Value-based Calibration EMNLP 2024

CoGen: Learning from Feedback with Coupled Comprehension and Generation EMNLP 2024

Perplexity-aware Correction for Robust Alignment with Noisy Preferences NIPS 2024

GDPO: Learning to Directly Align Language Models with Diversity Using GFlowNets EMNLP 2024

Experience as Source for Anticipation and Planning: Experiential Policy Learning for Target-driven Recommendation Dialogues EMNLP 2024

Adversarially Robust Decision Transformer NIPS 2024

Improving Multi-party Dialogue Generation via Topic and Rhetorical Coherence EMNLP 2024

Teaching Embodied Reinforcement Learning Agents: Informativeness and Diversity of Language Use EMNLP 2024

Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation EMNLP 2024

Grounded Language Agent for Product Search via Intelligent Web Interactions EMNLP 2024

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

BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling NIPS 2024

ARES: Alternating Reinforcement Learning and Supervised Fine-Tuning for Enhanced Multi-Modal Chain-of-Thought Reasoning Through Diverse AI Feedback EMNLP 2024

CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making NIPS 2024

MoleculeQA: A Dataset to Evaluate Factual Accuracy in Molecular Comprehension EMNLP 2024

Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback NAACL 2024

Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning EMNLP 2024

Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference Data EMNLP 2024

Imitation Bootstrapped Reinforcement Learning RSS 2024

Learning Autonomous Driving Tasks via Human Feedbacks with Large Language Models EMNLP 2024

Bootstrapped Policy Learning for Task-oriented Dialogue through Goal Shaping EMNLP 2024

Controlled maximal variability along with reliable performance in recurrent neural networks NIPS 2024

Goal-Conditioned Generators of Deep Policies AAAI 2023

Subequivariant Graph Reinforcement Learning in 3D Environments ICML 2023