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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

LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems NIPS 2024
MoleculeQA: A Dataset to Evaluate Factual Accuracy in Molecular Comprehension EMNLP 2024
Learning Autonomous Driving Tasks via Human Feedbacks with Large Language Models EMNLP 2024
Distributionally Robust Off-Dynamics Reinforcement Learning: Provable Efficiency with Linear Function Approximation AISTATS 2024
A Critical Evaluation of AI Feedback for Aligning Large Language Models NIPS 2024
Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization ACL 2024
RePALM: Popular Quote Tweet Generation via Auto-Response Augmentation ACL 2024
Explaining Reinforcement Learning Agents through Counterfactual Action Outcomes AAAI 2024
Learning to Trust Your Feelings: Leveraging Self-awareness in LLMs for Hallucination Mitigation ACL 2024
Teaching Language Models to Self-Improve by Learning from Language Feedback ACL 2024
Prompt-Based Length Controlled Generation with Multiple Control Types ACL 2024
Unveiling the Art of Heading Design: A Harmonious Blend of Summarization, Neology, and Algorithm ACL 2024
Tracking object positions in reinforcement learning: A metric for keypoint detection L4DC 2024
Controlgym: Large-scale control environments for benchmarking reinforcement learning algorithms L4DC 2024
A Grounded Preference Model for LLM Alignment ACL 2024
Perplexity-aware Correction for Robust Alignment with Noisy Preferences NIPS 2024
Pointwise-in-time diagnostics for reinforcement learning during training and runtime L4DC 2024
A large deviations perspective on policy gradient algorithms L4DC 2024
P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Models ACL 2024
Reinforcement Learning with Token-level Feedback for Controllable Text Generation NAACL 2024
PDE control gym: A benchmark for data-driven boundary control of partial differential equations L4DC 2024
Safety filters for black-box dynamical systems by learning discriminating hyperplanes L4DC 2024
BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling NIPS 2024
Robust exploration with adversary via Langevin Monte Carlo L4DC 2024
Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates AAAI 2024