Large Language Model as a Policy Teacher for Training Reinforcement Learning Agents
Fuente:
arXiv
Saved in:
| Main Authors: | Zhou, Zihao, Hu, Bin, Zhao, Chenyang, Zhang, Pu, Liu, Bin |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning Approach
by: Hu, Bin, et al.
Published: (2023)
by: Hu, Bin, et al.
Published: (2023)
AgentStealth: Reinforcing Large Language Model for Anonymizing User-generated Text
by: Shao, Chenyang, et al.
Published: (2025)
by: Shao, Chenyang, et al.
Published: (2025)
VLASCD: A Visual Language Action Model for Simultaneous Chatting and Decision Making
by: Tang, Zuojin, et al.
Published: (2024)
by: Tang, Zuojin, et al.
Published: (2024)
Probing Causality Manipulation of Large Language Models
by: Zhang, Chenyang, et al.
Published: (2024)
by: Zhang, Chenyang, et al.
Published: (2024)
Training Interactive Agent in Large FPS Game Map with Rule-enhanced Reinforcement Learning
by: Zhang, Chen, et al.
Published: (2024)
by: Zhang, Chen, et al.
Published: (2024)
Measuring Policy Distance for Multi-Agent Reinforcement Learning
by: Hu, Tianyi, et al.
Published: (2024)
by: Hu, Tianyi, et al.
Published: (2024)
Training Agents with Weakly Supervised Feedback from Large Language Models
by: Gong, Dihong, et al.
Published: (2024)
by: Gong, Dihong, et al.
Published: (2024)
Large Language Model Post-Training: A Unified View of Off-Policy and On-Policy Learning
by: Zhao, Shiwan, et al.
Published: (2026)
by: Zhao, Shiwan, et al.
Published: (2026)
MAPoRL: Multi-Agent Post-Co-Training for Collaborative Large Language Models with Reinforcement Learning
by: Park, Chanwoo, et al.
Published: (2025)
by: Park, Chanwoo, et al.
Published: (2025)
MoColl: Agent-Based Specific and General Model Collaboration for Image Captioning
by: Yang, Pu, et al.
Published: (2025)
by: Yang, Pu, et al.
Published: (2025)
Vision-Based Generic Potential Function for Policy Alignment in Multi-Agent Reinforcement Learning
by: Ma, Hao, et al.
Published: (2025)
by: Ma, Hao, et al.
Published: (2025)
Efficient Reinforcement Learning for Large Language Models with Intrinsic Exploration
by: Sun, Yan, et al.
Published: (2025)
by: Sun, Yan, et al.
Published: (2025)
A2DEPT: Large Language Model-Driven Automated Algorithm Design via Evolutionary Program Trees
by: Chen, Bin, et al.
Published: (2026)
by: Chen, Bin, et al.
Published: (2026)
Achieving Olympia-Level Geometry Large Language Model Agent via Complexity Boosting Reinforcement Learning
by: Zhao, Haiteng, et al.
Published: (2025)
by: Zhao, Haiteng, et al.
Published: (2025)
DLM: Unified Decision Language Models for Offline Multi-Agent Sequential Decision Making
by: Zhang, Zhuohui, et al.
Published: (2026)
by: Zhang, Zhuohui, et al.
Published: (2026)
Reinforcement Learning with Curriculum-inspired Adaptive Direct Policy Guidance for Truck Dispatching
by: Meng, Shi, et al.
Published: (2025)
by: Meng, Shi, et al.
Published: (2025)
DynamicRouteGPT: A Real-Time Multi-Vehicle Dynamic Navigation Framework Based on Large Language Models
by: Zhou, Ziai, et al.
Published: (2024)
by: Zhou, Ziai, et al.
Published: (2024)
Continual Knowledge Adaptation for Reinforcement Learning
by: Hu, Jinwu, et al.
Published: (2025)
by: Hu, Jinwu, et al.
Published: (2025)
ProActor: Timing-Aware Reinforcement Learning for Proactive Task Scheduling Agents
by: Ding, Lei, et al.
Published: (2026)
by: Ding, Lei, et al.
Published: (2026)
ChipMATE: Multi-Agent Training via Reinforcement Learning for Enhanced RTL Generation
by: Yu, Zhongkai, et al.
Published: (2026)
by: Yu, Zhongkai, et al.
Published: (2026)
PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning
by: Chen, Yiqun, et al.
Published: (2022)
by: Chen, Yiqun, et al.
Published: (2022)
Route-and-Reason: Scaling Large Language Model Reasoning with Reinforced Model Router
by: Shao, Chenyang, et al.
Published: (2025)
by: Shao, Chenyang, et al.
Published: (2025)
Policy and World Modeling Co-Training for Language Agents
by: Lu, Ning, et al.
Published: (2026)
by: Lu, Ning, et al.
Published: (2026)
LAMARL: LLM-Aided Multi-Agent Reinforcement Learning for Cooperative Policy Generation
by: Zhu, Guobin, et al.
Published: (2025)
by: Zhu, Guobin, et al.
Published: (2025)
Training-Free Test-Time Contrastive Learning for Large Language Models
by: Zheng, Kaiwen, et al.
Published: (2026)
by: Zheng, Kaiwen, et al.
Published: (2026)
Heterogeneity in Multi-Agent Reinforcement Learning
by: Hu, Tianyi, et al.
Published: (2025)
by: Hu, Tianyi, et al.
Published: (2025)
ProtRLSearch: A Multi-Round Multimodal Protein Search Agent with Large Language Models Trained via Reinforcement Learning
by: Liu, Congying, et al.
Published: (2026)
by: Liu, Congying, et al.
Published: (2026)
HiPER: Hierarchical Reinforcement Learning with Explicit Credit Assignment for Large Language Model Agents
by: Peng, Jiangweizhi, et al.
Published: (2026)
by: Peng, Jiangweizhi, et al.
Published: (2026)
Cooper: Co-Optimizing Policy and Reward Models in Reinforcement Learning for Large Language Models
by: Hong, Haitao, et al.
Published: (2025)
by: Hong, Haitao, et al.
Published: (2025)
QLLM: Do We Really Need a Mixing Network for Credit Assignment in Multi-Agent Reinforcement Learning?
by: Li, Yuanjun, et al.
Published: (2025)
by: Li, Yuanjun, et al.
Published: (2025)
Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach
by: Zhang, Bin, et al.
Published: (2023)
by: Zhang, Bin, et al.
Published: (2023)
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
by: Luo, Xufang, et al.
Published: (2025)
by: Luo, Xufang, et al.
Published: (2025)
STARLING: Self-supervised Training of Text-based Reinforcement Learning Agent with Large Language Models
by: Basavatia, Shreyas, et al.
Published: (2024)
by: Basavatia, Shreyas, et al.
Published: (2024)
Vulnerable Agent Identification in Large-Scale Multi-Agent Reinforcement Learning
by: Li, Simin, et al.
Published: (2025)
by: Li, Simin, et al.
Published: (2025)
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning
by: Xi, Zhiheng, et al.
Published: (2024)
by: Xi, Zhiheng, et al.
Published: (2024)
InverseScope: Scalable Activation Inversion for Interpreting Large Language Models
by: Luo, Yifan, et al.
Published: (2025)
by: Luo, Yifan, et al.
Published: (2025)
Responsible Multilingual Large Language Models: A Survey of Development, Applications, and Societal Impact
by: Liu, Junhua, et al.
Published: (2024)
by: Liu, Junhua, et al.
Published: (2024)
Unreal-MAP: Unreal-Engine-Based General Platform for Multi-Agent Reinforcement Learning
by: Hu, Tianyi, et al.
Published: (2025)
by: Hu, Tianyi, et al.
Published: (2025)
A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations
by: Zhou, Yihe, et al.
Published: (2025)
by: Zhou, Yihe, et al.
Published: (2025)
TPTU: Large Language Model-based AI Agents for Task Planning and Tool Usage
by: Ruan, Jingqing, et al.
Published: (2023)
by: Ruan, Jingqing, et al.
Published: (2023)
Similar Items
-
Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning Approach
by: Hu, Bin, et al.
Published: (2023) -
AgentStealth: Reinforcing Large Language Model for Anonymizing User-generated Text
by: Shao, Chenyang, et al.
Published: (2025) -
VLASCD: A Visual Language Action Model for Simultaneous Chatting and Decision Making
by: Tang, Zuojin, et al.
Published: (2024) -
Probing Causality Manipulation of Large Language Models
by: Zhang, Chenyang, et al.
Published: (2024) -
Training Interactive Agent in Large FPS Game Map with Rule-enhanced Reinforcement Learning
by: Zhang, Chen, et al.
Published: (2024)