COMAP: Co-Evolving World Models and Agent Policies for LLM Agents
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Youwei, Wang, Jian, Wang, Hanlin, Li, Wenjie |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Imagine-then-Plan: Agent Learning from Adaptive Lookahead with World Models
by: Liu, Youwei, et al.
Published: (2026)
by: Liu, Youwei, et al.
Published: (2026)
STeCa: Step-level Trajectory Calibration for LLM Agent Learning
by: Wang, Hanlin, et al.
Published: (2025)
by: Wang, Hanlin, et al.
Published: (2025)
E2CL: Exploration-based Error Correction Learning for Embodied Agents
by: Wang, Hanlin, et al.
Published: (2024)
by: Wang, Hanlin, et al.
Published: (2024)
Seeing Isn't Believing: Mitigating Belief Inertia via Active Intervention in Embodied Agents
by: Wang, Hanlin, et al.
Published: (2026)
by: Wang, Hanlin, et al.
Published: (2026)
PolicyBank: Evolving Policy Understanding for LLM Agents
by: Choi, Jihye, et al.
Published: (2026)
by: Choi, Jihye, et al.
Published: (2026)
Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence
by: Dong, Guanting, et al.
Published: (2026)
by: Dong, Guanting, et al.
Published: (2026)
EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle
by: Wu, Rong, et al.
Published: (2025)
by: Wu, Rong, et al.
Published: (2025)
Do Self-Evolving Agents Forget? Capability Degradation and Preservation in Lifelong LLM Agent Adaptation
by: Yu, Ye, et al.
Published: (2026)
by: Yu, Ye, et al.
Published: (2026)
Mem$^2$Evolve: Towards Self-Evolving Agents via Co-Evolutionary Capability Expansion and Experience Distillation
by: Cheng, Zihao, et al.
Published: (2026)
by: Cheng, Zihao, et al.
Published: (2026)
Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization
by: Zhang, Wenqi, et al.
Published: (2024)
by: Zhang, Wenqi, et al.
Published: (2024)
STELLA: Self-Evolving LLM Agent for Biomedical Research
by: Jin, Ruofan, et al.
Published: (2025)
by: Jin, Ruofan, et al.
Published: (2025)
Ratchet: A Minimal Hygiene Recipe for Self-Evolving LLM Agents
by: Zhang, Xing, et al.
Published: (2026)
by: Zhang, Xing, et al.
Published: (2026)
CoMAS: Co-Evolving Multi-Agent Systems via Interaction Rewards
by: Xue, Xiangyuan, et al.
Published: (2025)
by: Xue, Xiangyuan, et al.
Published: (2025)
Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory
by: Wei, Tianxin, et al.
Published: (2025)
by: Wei, Tianxin, et al.
Published: (2025)
Frontier-Eng: Benchmarking Self-Evolving Agents on Real-World Engineering Tasks with Generative Optimization
by: Chi, Yizhe, et al.
Published: (2026)
by: Chi, Yizhe, et al.
Published: (2026)
AgentGym: Evolving Large Language Model-based Agents across Diverse Environments
by: Xi, Zhiheng, et al.
Published: (2024)
by: Xi, Zhiheng, et al.
Published: (2024)
Agent Alignment in Evolving Social Norms
by: Li, Shimin, et al.
Published: (2024)
by: Li, Shimin, et al.
Published: (2024)
EVE-Agent: Evidence-Verifiable Self-Evolving Agents
by: Arai, Yamato, et al.
Published: (2026)
by: Arai, Yamato, et al.
Published: (2026)
Terminal-World: Scaling Terminal-Agent Environments via Agent Skills
by: Cheng, Zihao, et al.
Published: (2026)
by: Cheng, Zihao, et al.
Published: (2026)
AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration
by: Wang, Zhexuan, et al.
Published: (2025)
by: Wang, Zhexuan, et al.
Published: (2025)
Agent2World: Learning to Generate Symbolic World Models via Adaptive Multi-Agent Feedback
by: Hu, Mengkang, et al.
Published: (2025)
by: Hu, Mengkang, et al.
Published: (2025)
Personalized Large Language Model Assistant with Evolving Conditional Memory
by: Yuan, Ruifeng, et al.
Published: (2023)
by: Yuan, Ruifeng, et al.
Published: (2023)
Multimodal Policy Internalization for Conversational Agents
by: Wang, Zhenhailong, et al.
Published: (2025)
by: Wang, Zhenhailong, et al.
Published: (2025)
Large Language Models Empowered Personalized Web Agents
by: Cai, Hongru, et al.
Published: (2024)
by: Cai, Hongru, et al.
Published: (2024)
VAGEN: Reinforcing World Model Reasoning for Multi-Turn VLM Agents
by: Wang, Kangrui, et al.
Published: (2025)
by: Wang, Kangrui, et al.
Published: (2025)
MIRIX: Multi-Agent Memory System for LLM-Based Agents
by: Wang, Yu, et al.
Published: (2025)
by: Wang, Yu, et al.
Published: (2025)
ReachAgent: Enhancing Mobile Agent via Page Reaching and Operation
by: Wu, Qinzhuo, et al.
Published: (2025)
by: Wu, Qinzhuo, et al.
Published: (2025)
Co-Evolution of Policy and Internal Reward for Language Agents
by: Wang, Xinyu, et al.
Published: (2026)
by: Wang, Xinyu, et al.
Published: (2026)
Unlocking the Power of Multi-Agent LLM for Reasoning: From Lazy Agents to Deliberation
by: Zhang, Zhiwei, et al.
Published: (2025)
by: Zhang, Zhiwei, et al.
Published: (2025)
Training Turn-by-Turn Verifiers for Dialogue Tutoring Agents: The Curious Case of LLMs as Your Coding Tutors
by: Wang, Jian, et al.
Published: (2025)
by: Wang, Jian, et al.
Published: (2025)
Mobile-Bench: An Evaluation Benchmark for LLM-based Mobile Agents
by: Deng, Shihan, et al.
Published: (2024)
by: Deng, Shihan, et al.
Published: (2024)
Symbolic Learning Enables Self-Evolving Agents
by: Zhou, Wangchunshu, et al.
Published: (2024)
by: Zhou, Wangchunshu, et al.
Published: (2024)
WebCoach: Self-Evolving Web Agents with Cross-Session Memory Guidance
by: Liu, Genglin, et al.
Published: (2025)
by: Liu, Genglin, et al.
Published: (2025)
AgentEvolver: Towards Efficient Self-Evolving Agent System
by: Zhai, Yunpeng, et al.
Published: (2025)
by: Zhai, Yunpeng, et al.
Published: (2025)
SkillOS: Learning Skill Curation for Self-Evolving Agents
by: Ouyang, Siru, et al.
Published: (2026)
by: Ouyang, Siru, et al.
Published: (2026)
WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment
by: Tang, Hao, et al.
Published: (2024)
by: Tang, Hao, et al.
Published: (2024)
AdaptEvolve: Improving Efficiency of Evolutionary AI Agents through Adaptive Model Selection
by: Ray, Pretam, et al.
Published: (2026)
by: Ray, Pretam, et al.
Published: (2026)
CoCoA: Collaborative Chain-of-Agents for Parametric-Retrieved Knowledge Synergy
by: Jiang, Yi, et al.
Published: (2025)
by: Jiang, Yi, et al.
Published: (2025)
MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents
by: Zhang, Haozhen, et al.
Published: (2026)
by: Zhang, Haozhen, et al.
Published: (2026)
SkillOpt: Executive Strategy for Self-Evolving Agent Skills
by: Yang, Yifan, et al.
Published: (2026)
by: Yang, Yifan, et al.
Published: (2026)
Similar Items
-
Imagine-then-Plan: Agent Learning from Adaptive Lookahead with World Models
by: Liu, Youwei, et al.
Published: (2026) -
STeCa: Step-level Trajectory Calibration for LLM Agent Learning
by: Wang, Hanlin, et al.
Published: (2025) -
E2CL: Exploration-based Error Correction Learning for Embodied Agents
by: Wang, Hanlin, et al.
Published: (2024) -
Seeing Isn't Believing: Mitigating Belief Inertia via Active Intervention in Embodied Agents
by: Wang, Hanlin, et al.
Published: (2026) -
PolicyBank: Evolving Policy Understanding for LLM Agents
by: Choi, Jihye, et al.
Published: (2026)