Cover Image

LLM-Empowered State Representation for Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Boyuan, Qu, Yun, Jiang, Yuhang, Shao, Jianzhun, Liu, Chang, Yang, Wenming, Ji, Xiangyang
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning
by: Qu, Yun, et al.
Published: (2024)

Stop Wandering, Find the Keys: LLMs Discriminate Key States for Efficient Multi-Agent Exploration
by: Qu, Yun, et al.
Published: (2024)

Doubly Mild Generalization for Offline Reinforcement Learning
by: Mao, Yixiu, et al.
Published: (2024)

Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks
by: Qu, Yun, et al.
Published: (2024)

Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression
by: Mao, Yixiu, et al.
Published: (2024)

Adaptive Neighborhood-Constrained Q Learning for Offline Reinforcement Learning
by: Mao, Yixiu, et al.
Published: (2025)

Unsupervised Data Generation for Offline Reinforcement Learning: A Perspective from Model
by: He, Shuncheng, et al.
Published: (2025)

RLVR without Ineffective Samples: Group Prioritized Off-Policy Optimization for LLM Reasoning
by: Mao, Yixiu, et al.
Published: (2026)

LLM-Empowered Representation Learning for Emerging Item Recommendation
by: Zhang, Ziying, et al.
Published: (2025)

Utility-Diversity Aware Online Batch Selection for LLM Supervised Fine-tuning
by: Zou, Heming, et al.
Published: (2025)

Listwise Policy Optimization: Group-based RLVR as Target-Projection on the LLM Response Simplex
by: Qu, Yun, et al.
Published: (2026)

Small Generalizable Prompt Predictive Models Can Steer Efficient RL Post-Training of Large Reasoning Models
by: Qu, Yun, et al.
Published: (2026)

Scrutinize What We Ignore: Reining In Task Representation Shift Of Context-Based Offline Meta Reinforcement Learning
by: Zhang, Hai, et al.
Published: (2024)

Dynamics-Predictive Sampling for Active RL Finetuning of Large Reasoning Models
by: Mao, Yixiu, et al.
Published: (2026)

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments
by: Qu, Yun, et al.
Published: (2025)

Pref-GUIDE: Continual Policy Learning from Real-Time Human Feedback via Preference-Based Learning
by: Ji, Zhengran, et al.
Published: (2025)

ETTRL: Balancing Exploration and Exploitation in LLM Test-Time Reinforcement Learning Via Entropy Mechanism
by: Liu, Jia, et al.
Published: (2025)

Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning
by: Dong, Guanting, et al.
Published: (2025)

Can Prompt Difficulty be Online Predicted for Accelerating RL Finetuning of Reasoning Models?
by: Qu, Yun, et al.
Published: (2025)

Empowering Epidemic Response: The Role of Reinforcement Learning in Infectious Disease Control
by: Liu, Mutong, et al.
Published: (2026)

Enhancing Cloud Network Resilience via a Robust LLM-Empowered Multi-Agent Reinforcement Learning Framework
by: Peng, Yixiao, et al.
Published: (2026)

Simulating Human-Like Learning Dynamics with LLM-Empowered Agents
by: Yuan, Yu, et al.
Published: (2025)

Learning Compact Representations of LLM Abilities via Item Response Theory
by: Chen, Jianhao, et al.
Published: (2025)

On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender Systems
by: Wang, Siyu, et al.
Published: (2024)

Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement Learning
by: Xu, Linjie, et al.
Published: (2024)

A Survey of State Representation Learning for Deep Reinforcement Learning
by: Echchahed, Ayoub, et al.
Published: (2025)

Tree Search for LLM Agent Reinforcement Learning
by: Ji, Yuxiang, et al.
Published: (2025)

Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning
by: Wu, Yuhang, et al.
Published: (2026)

Learning More from Less: Unlocking Internal Representations for Benchmark Compression
by: Zhang, Yueqi, et al.
Published: (2026)

POI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation Learning
by: Cheng, Jiawei, et al.
Published: (2025)

Detection vs. Execution: Single-Bucket Probes Miss Half the Mamba-2 State Sink
by: Jiang, Yuhang
Published: (2026)

Know When to Explore: Difficulty-Aware Certainty as a Guide for LLM Reinforcement Learning
by: Li, Ang, et al.
Published: (2025)

Efficient Reinforcement Learning with Semantic and Token Entropy for LLM Reasoning
by: Cao, Hongye, et al.
Published: (2025)

Approximate Subgraph Matching with Neural Graph Representations and Reinforcement Learning
by: Li, Kaiyang, et al.
Published: (2026)

CoRe-ECG: Advancing Self-Supervised Representation Learning for 12-Lead ECG via Contrastive and Reconstructive Synergy
by: Qin, Zehao, et al.
Published: (2026)

GeoAgent: Learning to Geolocate Everywhere with Reinforced Geographic Characteristics
by: Jin, Modi, et al.
Published: (2026)

Towards Security-Auditable LLM Agents: A Unified Graph Representation
by: Li, Chaofan, et al.
Published: (2026)

ThinkDrive: Chain-of-Thought Guided Progressive Reinforcement Learning Fine-Tuning for Autonomous Driving
by: Zhao, Chang, et al.
Published: (2026)

LLM-assisted Semantic Option Discovery for Facilitating Adaptive Deep Reinforcement Learning
by: Yao, Chang, et al.
Published: (2026)

BinCtx: Multi-Modal Representation Learning for Robust Android App Behavior Detection
by: Liu, Zichen, et al.
Published: (2025)