AgentCVR: Active Multi-Agent Cross-Video Reasoning via Script-Simulated Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Qiu, Yilun, Wang, Jiahe, Yan, Cilin, Cai, Jiayin, Jiang, Xiaolong, Hu, Yao, Yuan, Chun |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Heterogeneity in Multi-Agent Reinforcement Learning
by: Hu, Tianyi, et al.
Published: (2025)
by: Hu, Tianyi, et al.
Published: (2025)
Implementing Agents in JavaScript
by: Kampik, Timotheus
Published: (2025)
by: Kampik, Timotheus
Published: (2025)
LASER: Script Execution by Autonomous Agents for On-demand Traffic Simulation
by: Gao, Hao, et al.
Published: (2024)
by: Gao, Hao, et al.
Published: (2024)
Scalable Safe Multi-Agent Reinforcement Learning for Multi-Agent System
by: Du, Haikuo, et al.
Published: (2025)
by: Du, Haikuo, et al.
Published: (2025)
Measuring Policy Distance for Multi-Agent Reinforcement Learning
by: Hu, Tianyi, et al.
Published: (2024)
by: Hu, Tianyi, et al.
Published: (2024)
Asynchronous Credit Assignment for Multi-Agent Reinforcement Learning
by: Liang, Yongheng, et al.
Published: (2024)
by: Liang, Yongheng, et al.
Published: (2024)
DemMA: Dementia Multi-Turn Dialogue Agent with Expert-Guided Reasoning and Action Simulation
by: Song, Yutong, et al.
Published: (2026)
by: Song, Yutong, et al.
Published: (2026)
AgentSchool: An LLM-Powered Multi-Agent Simulation for Education
by: Ye, Yulei, et al.
Published: (2026)
by: Ye, Yulei, et al.
Published: (2026)
SCMAPR: Self-Correcting Multi-Agent Prompt Refinement for Complex-Scenario Text-to-Video Generation
by: Yang, Chengyi, et al.
Published: (2026)
by: Yang, Chengyi, et al.
Published: (2026)
A Hierarchical Hybrid AI Approach: Integrating Deep Reinforcement Learning and Scripted Agents in Combat Simulations
by: Black, Scotty, et al.
Published: (2025)
by: Black, Scotty, et al.
Published: (2025)
What Do Agents Communicate? Characterizing Information Exchange in Multi-Agent Systems
by: Chun, Yong Jin, et al.
Published: (2026)
by: Chun, Yong Jin, et al.
Published: (2026)
Graphon Mean-Field Control for Cooperative Multi-Agent Reinforcement Learning
by: Hu, Yuanquan, et al.
Published: (2022)
by: Hu, Yuanquan, et al.
Published: (2022)
Bottom-Up Reputation Promotes Cooperation with Multi-Agent Reinforcement Learning
by: Ren, Tianyu, et al.
Published: (2025)
by: Ren, Tianyu, et al.
Published: (2025)
Multi-Agent Reinforcement Learning Simulation for Environmental Policy Synthesis
by: Rudd-Jones, James, et al.
Published: (2025)
by: Rudd-Jones, James, et al.
Published: (2025)
Epistemic Gain, Aleatoric Cost: Uncertainty Decomposition in Multi-Agent Debate for Math Reasoning
by: Qiao, Dan, et al.
Published: (2026)
by: Qiao, Dan, et al.
Published: (2026)
An Agent-Centric Dynamical Systems Perspective on Multi-Agent Reinforcement Learning
by: Rudd-Jones, James, et al.
Published: (2025)
by: Rudd-Jones, James, et al.
Published: (2025)
TVDO: Tchebycheff Value-Decomposition Optimization for Multi-Agent Reinforcement Learning
by: Hu, Xiaoliang, et al.
Published: (2023)
by: Hu, Xiaoliang, et al.
Published: (2023)
Attention-Guided Contrastive Role Representations for Multi-Agent Reinforcement Learning
by: Hu, Zican, et al.
Published: (2023)
by: Hu, Zican, et al.
Published: (2023)
Causal-Inspired Multi-Agent Decision-Making via Graph Reinforcement Learning
by: Wang, Jing, et al.
Published: (2025)
by: Wang, Jing, et al.
Published: (2025)
YOLO-MARL: You Only LLM Once for Multi-Agent Reinforcement Learning
by: Zhuang, Yuan, et al.
Published: (2024)
by: Zhuang, Yuan, et al.
Published: (2024)
Scalable UAV Multi-Hop Networking via Multi-Agent Reinforcement Learning with Large Language Models
by: Xu, Yanggang, et al.
Published: (2025)
by: Xu, Yanggang, et al.
Published: (2025)
Understanding Individual Agent Importance in Multi-Agent System via Counterfactual Reasoning
by: Chen, Jianming, et al.
Published: (2024)
by: Chen, Jianming, et al.
Published: (2024)
LongVideoAgent: Multi-Agent Reasoning with Long Videos
by: Liu, Runtao, et al.
Published: (2025)
by: Liu, Runtao, et al.
Published: (2025)
Heterogeneous Consensus-Progressive Reasoning for Efficient Multi-Agent Debate
by: Liu, Yiqing, et al.
Published: (2026)
by: Liu, Yiqing, et al.
Published: (2026)
Single-Agent Scaling Fails Multi-Agent Intelligence: Towards Foundation Models with Native Multi-Agent Intelligence
by: Hu, Shuyue, et al.
Published: (2025)
by: Hu, Shuyue, et al.
Published: (2025)
Community-based Multi-Agent Reinforcement Learning with Transfer and Active Exploration
by: Shi, Zhaoyang
Published: (2025)
by: Shi, Zhaoyang
Published: (2025)
Robust and Safe Multi-Agent Reinforcement Learning with Communication for Autonomous Vehicles: From Simulation to Hardware
by: Smith, Keshawn, et al.
Published: (2025)
by: Smith, Keshawn, et al.
Published: (2025)
SocialGFs: Learning Social Gradient Fields for Multi-Agent Reinforcement Learning
by: Long, Qian, et al.
Published: (2024)
by: Long, Qian, et al.
Published: (2024)
A Multi-Agent Perception-Action Alliance for Efficient Long Video Reasoning
by: Xu, Yichang, et al.
Published: (2026)
by: Xu, Yichang, et al.
Published: (2026)
Cross-Modal Navigation with Multi-Agent Reinforcement Learning
by: Liu, Shuo, et al.
Published: (2026)
by: Liu, Shuo, et al.
Published: (2026)
Very Large-Scale Multi-Agent Simulation in AgentScope
by: Pan, Xuchen, et al.
Published: (2024)
by: Pan, Xuchen, et al.
Published: (2024)
AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs
by: Grötschla, Florian, et al.
Published: (2025)
by: Grötschla, Florian, et al.
Published: (2025)
Memory-Augmented Reinforcement Learning Agent for CAD Generation
by: Xiaolong, Yin, et al.
Published: (2026)
by: Xiaolong, Yin, et al.
Published: (2026)
AI Agent for Education: von Neumann Multi-Agent System Framework
by: Jiang, Yuan-Hao, et al.
Published: (2024)
by: Jiang, Yuan-Hao, et al.
Published: (2024)
Multi-Agent Cross-Entropy Method with Monotonic Nonlinear Critic Decomposition
by: Wang, Yan, et al.
Published: (2025)
by: Wang, Yan, et al.
Published: (2025)
VIL2C: Value-of-Information Aware Low-Latency Communication for Multi-Agent Reinforcement Learning
by: Zhang, Qian, et al.
Published: (2025)
by: Zhang, Qian, et al.
Published: (2025)
Making Teams and Influencing Agents: Efficiently Coordinating Decision Trees for Interpretable Multi-Agent Reinforcement Learning
by: Chen, Rex, et al.
Published: (2025)
by: Chen, Rex, et al.
Published: (2025)
Communicating Unexpectedness for Out-of-Distribution Multi-Agent Reinforcement Learning
by: Lee, Min Whoo, et al.
Published: (2025)
by: Lee, Min Whoo, et al.
Published: (2025)
Dynamic Graph Communication for Decentralised Multi-Agent Reinforcement Learning
by: McClusky, Ben
Published: (2024)
by: McClusky, Ben
Published: (2024)
Learning Efficient Communication Protocols for Multi-Agent Reinforcement Learning
by: Zhang, Xinren, et al.
Published: (2025)
by: Zhang, Xinren, et al.
Published: (2025)
Similar Items
-
Heterogeneity in Multi-Agent Reinforcement Learning
by: Hu, Tianyi, et al.
Published: (2025) -
Implementing Agents in JavaScript
by: Kampik, Timotheus
Published: (2025) -
LASER: Script Execution by Autonomous Agents for On-demand Traffic Simulation
by: Gao, Hao, et al.
Published: (2024) -
Scalable Safe Multi-Agent Reinforcement Learning for Multi-Agent System
by: Du, Haikuo, et al.
Published: (2025) -
Measuring Policy Distance for Multi-Agent Reinforcement Learning
by: Hu, Tianyi, et al.
Published: (2024)