Cover Image

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Mickel, Jiang, Liwei, Liang, Yancheng, Du, Simon Shaolei, Choi, Yejin, Althoff, Tim, Jaques, Natasha
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computation and Language Multiagent Systems
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning to Cooperate with Humans using Generative Agents
by: Liang, Yancheng, et al.
Published: (2024)

Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination
by: Jha, Kunal, et al.
Published: (2025)

Multi Agent Reinforcement Learning for Sequential Satellite Assignment Problems
by: Holder, Joshua, et al.
Published: (2024)

Multi-Agent Reinforcement Learning for Sample-Efficient Deep Neural Network Mapping
by: Krishnan, Srivatsan, et al.
Published: (2025)

Differentially Private Reinforcement Learning with Self-Play
by: Qiao, Dan, et al.
Published: (2024)

Near-Optimal Reinforcement Learning with Self-Play under Adaptivity Constraints
by: Qiao, Dan, et al.
Published: (2024)

Outbidding and Outbluffing Elite Humans: Mastering Liar's Poker via Self-Play and Reinforcement Learning
by: Dewey, Richard, et al.
Published: (2025)

Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game
by: Xu, Zelai, et al.
Published: (2023)

MARLadona -- Towards Cooperative Team Play Using Multi-Agent Reinforcement Learning
by: Li, Zichong, et al.
Published: (2024)

ICRL: Learning to Internalize Self-Critique with Reinforcement Learning
by: Lin, Jianbo, et al.
Published: (2026)

Speaking the Language of Teamwork: LLM-Guided Credit Assignment in Multi-Agent Reinforcement Learning
by: Lin, Muhan, et al.
Published: (2025)

InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma
by: Hou, Xiaoxuan, et al.
Published: (2024)

Knowing What Not to Do: Leverage Language Model Insights for Action Space Pruning in Multi-agent Reinforcement Learning
by: Liu, Zhihao, et al.
Published: (2024)

MESA: Cooperative Meta-Exploration in Multi-Agent Learning through Exploiting State-Action Space Structure
by: Zhang, Zhicheng, et al.
Published: (2024)

Towards Natural Language Communication for Cooperative Autonomous Driving via Self-Play
by: Cui, Jiaxun, et al.
Published: (2025)

Multi-Agent Training for Pommerman: Curriculum Learning and Population-based Self-Play Approach
by: Huynh, Nhat-Minh, et al.
Published: (2024)

Asynchronous Credit Assignment for Multi-Agent Reinforcement Learning
by: Liang, Yongheng, et al.
Published: (2024)

PufferLib: Making Reinforcement Learning Libraries and Environments Play Nice
by: Suarez, Joseph
Published: (2024)

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning
by: Toquebiau, Maxime, et al.
Published: (2025)

Language Grounded Multi-agent Reinforcement Learning with Human-interpretable Communication
by: Li, Huao, et al.
Published: (2024)

Multi-AUV Cooperative Underwater Multi-Target Tracking Based on Dynamic-Switching-enabled Multi-Agent Reinforcement Learning
by: Wang, Shengbo, et al.
Published: (2024)

Improving Human-AI Coordination through Online Adversarial Training and Generative Models
by: Chaudhary, Paresh, et al.
Published: (2025)

Safe Multi-agent Reinforcement Learning with Natural Language Constraints
by: Wang, Ziyan, et al.
Published: (2024)

Conversational Self-Play for Discovering and Understanding Psychotherapy Approaches
by: Kampman, Onno P, et al.
Published: (2025)

MA2RL: Masked Autoencoders for Generalizable Multi-Agent Reinforcement Learning
by: Feng, Jinyuan, et al.
Published: (2025)

Hierarchical Multi-Agent Reinforcement Learning-based Coordinated Spatial Reuse for Next Generation WLANs
by: Yu, Jiaming, et al.
Published: (2025)

Tiny Moves: Game-based Hypothesis Refinement
by: Dobrowolska, Agnieszka, et al.
Published: (2026)

Sample-Efficient Distributionally Robust Multi-Agent Reinforcement Learning via Online Interaction
by: Farhat, Zain Ulabedeen, et al.
Published: (2025)

Scalable Safe Multi-Agent Reinforcement Learning for Multi-Agent System
by: Du, Haikuo, et al.
Published: (2025)

CandorMD: An AI-Assisted Audio Simulation and Feedback System for Training Clinicians for Medical Error Disclosure
by: Lin, Inna Wanyin, et al.
Published: (2026)

Multi-agent Reinforcement Learning for Low-Carbon P2P Energy Trading among Self-Interested Microgrids
by: Ren, Junhao, et al.
Published: (2026)

Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning
by: Castagna, Alberto
Published: (2025)

Cooperative Integrated Estimation-Guidance for Simultaneous Interception of Moving Targets
by: Gopikannan, Lohitvel, et al.
Published: (2025)

A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning
by: Jiang, Haozhe, et al.
Published: (2023)

Scalable UAV Multi-Hop Networking via Multi-Agent Reinforcement Learning with Large Language Models
by: Xu, Yanggang, et al.
Published: (2025)

Selective Reincarnation: Offline-to-Online Multi-Agent Reinforcement Learning
by: Formanek, Claude, et al.
Published: (2023)

Dynamic Leader-Follower Consensus with Adversaries: A Multi-Hop Relay Approach
by: Yuan, Liwei, et al.
Published: (2025)

Asynchronous Approximate Byzantine Consensus: A Multi-hop Relay Method and Tight Graph Conditions
by: Yuan, Liwei, et al.
Published: (2024)

Resilient Quantized Consensus in Multi-Hop Relay Networks
by: Yuan, Liwei, et al.
Published: (2025)

Reaching Resilient Leader-Follower Consensus in Time-Varying Networks via Multi-Hop Relays
by: Yuan, Liwei, et al.
Published: (2024)