SEARL: Joint Optimization of Policy and Tool Graph Memory for Self-Evolving Agents
Fuente:
arXiv
Saved in:
| Main Authors: | Feng, Xinshun, Song, Xinhao, Li, Lijun, Liu, Gongshen, Shao, Jing |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Experience-Evolving Multi-Turn Tool-Use Agent with Hybrid Episodic-Procedural Memory
by: Li, Sijia, et al.
Published: (2025)
by: Li, Sijia, et al.
Published: (2025)
PolicyEvol-Agent: Evolving Policy via Environment Perception and Self-Awareness with Theory of Mind
by: Yu, Yajie, et al.
Published: (2025)
by: Yu, Yajie, et al.
Published: (2025)
One-Way Policy Optimization for Self-Evolving LLMs
by: Yang, Shuo, et al.
Published: (2026)
by: Yang, Shuo, et al.
Published: (2026)
MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents
by: Zhang, Haozhen, et al.
Published: (2026)
by: Zhang, Haozhen, et al.
Published: (2026)
EvolveMem:Self-Evolving Memory Architecture via AutoResearch for LLM Agents
by: Liu, Jiaqi, et al.
Published: (2026)
by: Liu, Jiaqi, et al.
Published: (2026)
APEX: Autonomous Policy Exploration for Self-Evolving LLM Agents
by: Li, Yibo, et al.
Published: (2026)
by: Li, Yibo, et al.
Published: (2026)
Your Agent May Misevolve: Emergent Risks in Self-evolving LLM Agents
by: Shao, Shuai, et al.
Published: (2025)
by: Shao, Shuai, et al.
Published: (2025)
Metis: Learning to Jailbreak LLMs via Self-Evolving Metacognitive Policy Optimization
by: Zhou, Huilin, et al.
Published: (2026)
by: Zhou, Huilin, et al.
Published: (2026)
Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off-Policy Optimization
by: Liu, Zeyuan, et al.
Published: (2026)
by: Liu, Zeyuan, et al.
Published: (2026)
Self-Evolving Recommendation System: End-To-End Autonomous Model Optimization With LLM Agents
by: Wang, Haochen, et al.
Published: (2026)
by: Wang, Haochen, et al.
Published: (2026)
MUSE-Autoskill: Self-Evolving Agents via Skill Creation, Memory, Management, and Evaluation
by: Lin, Huawei, et al.
Published: (2026)
by: Lin, Huawei, et al.
Published: (2026)
EvoMemBench: Benchmarking Agent Memory from a Self-Evolving Perspective
by: Wang, Yuyao, et al.
Published: (2026)
by: Wang, Yuyao, et al.
Published: (2026)
Group-in-Group Policy Optimization for LLM Agent Training
by: Feng, Lang, et al.
Published: (2025)
by: Feng, Lang, et al.
Published: (2025)
ContextEvolve: Multi-Agent Context Compression for Systems Code Optimization
by: Su, Hongyuan, et al.
Published: (2026)
by: Su, Hongyuan, et al.
Published: (2026)
HLL: Can Agents Cross Humanity's Last Line of Verification?
by: Song, Xinhao, et al.
Published: (2026)
by: Song, Xinhao, et al.
Published: (2026)
AgentEvolver: Towards Efficient Self-Evolving Agent System
by: Zhai, Yunpeng, et al.
Published: (2025)
by: Zhai, Yunpeng, et al.
Published: (2025)
PolicyEvolve: Evolving Programmatic Policies by LLMs for multi-player games via Population-Based Training
by: Lv, Mingrui, et al.
Published: (2025)
by: Lv, Mingrui, et al.
Published: (2025)
Do Neural Scaling Laws Exist on Graph Self-Supervised Learning?
by: Ma, Qian, et al.
Published: (2024)
by: Ma, Qian, et al.
Published: (2024)
Reason in Chains, Learn in Trees: Self-Rectification and Grafting for Multi-turn Agent Policy Optimization
by: Li, Yu, et al.
Published: (2026)
by: Li, Yu, et al.
Published: (2026)
Symbolic Learning Enables Self-Evolving Agents
by: Zhou, Wangchunshu, et al.
Published: (2024)
by: Zhou, Wangchunshu, et al.
Published: (2024)
Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization
by: Liu, Shixuan, et al.
Published: (2024)
by: Liu, Shixuan, et al.
Published: (2024)
P^2O: Joint Policy and Prompt Optimization
by: Lu, Xinyu, et al.
Published: (2026)
by: Lu, Xinyu, et al.
Published: (2026)
A Self-Evolving AI Agent System for Climate Science
by: Guo, Zijie, et al.
Published: (2025)
by: Guo, Zijie, et al.
Published: (2025)
PALADIN: Self-Correcting Language Model Agents to Cure Tool-Failure Cases
by: Vuddanti, Sri Vatsa, et al.
Published: (2025)
by: Vuddanti, Sri Vatsa, et al.
Published: (2025)
GraphRCG: Self-Conditioned Graph Generation
by: Wang, Song, et al.
Published: (2024)
by: Wang, Song, et al.
Published: (2024)
CMKL: Modality-Aware Continual Learning for Evolving Biomedical Knowledge Graphs
by: Radwan, Yousef A., et al.
Published: (2026)
by: Radwan, Yousef A., et al.
Published: (2026)
Unifying Group-Relative and Self-Distillation Policy Optimization via Sample Routing
by: Li, Gengsheng, et al.
Published: (2026)
by: Li, Gengsheng, et al.
Published: (2026)
Polymath: A Self-Optimizing Agent with Dynamic Hierarchical Workflow
by: Ho, Chia-Tung, et al.
Published: (2025)
by: Ho, Chia-Tung, et al.
Published: (2025)
EvoMem: Improving Multi-Agent Planning with Dual-Evolving Memory
by: Fan, Wenzhe, et al.
Published: (2025)
by: Fan, Wenzhe, et al.
Published: (2025)
Hybrid Self-evolving Structured Memory for GUI Agents
by: Zhu, Sibo, et al.
Published: (2026)
by: Zhu, Sibo, et al.
Published: (2026)
MMG2Skill: Can Agents Distill In-the-Wild Guides into Self-Evolving Skills?
by: Che, Xinyu, et al.
Published: (2026)
by: Che, Xinyu, et al.
Published: (2026)
Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization
by: Liu, Zongkai, et al.
Published: (2024)
by: Liu, Zongkai, et al.
Published: (2024)
Is One Score Enough? Rethinking the Evaluation of Sequentially Evolving LLM Memory
by: Dong, Songwei, et al.
Published: (2026)
by: Dong, Songwei, et al.
Published: (2026)
Hypothesis Hunting with Evolving Networks of Autonomous Scientific Agents
by: Liu, Tennison, et al.
Published: (2025)
by: Liu, Tennison, et al.
Published: (2025)
Long Term Memory: The Foundation of AI Self-Evolution
by: Jiang, Xun, et al.
Published: (2024)
by: Jiang, Xun, et al.
Published: (2024)
A Differential Geometric View and Explainability of GNN on Evolving Graphs
by: Liu, Yazheng, et al.
Published: (2024)
by: Liu, Yazheng, et al.
Published: (2024)
FedRS-Bench: Realistic Federated Learning Datasets and Benchmarks in Remote Sensing
by: Zhao, Haodong, et al.
Published: (2025)
by: Zhao, Haodong, et al.
Published: (2025)
SkillGraph: Graph Foundation Priors for LLM Agent Tool Sequence Recommendation
by: Liu, Hao, et al.
Published: (2026)
by: Liu, Hao, et al.
Published: (2026)
Temporal Generalization Estimation in Evolving Graphs
by: Lu, Bin, et al.
Published: (2024)
by: Lu, Bin, et al.
Published: (2024)
Self-Evolving Curriculum for LLM Reasoning
by: Chen, Xiaoyin, et al.
Published: (2025)
by: Chen, Xiaoyin, et al.
Published: (2025)
Similar Items
-
Experience-Evolving Multi-Turn Tool-Use Agent with Hybrid Episodic-Procedural Memory
by: Li, Sijia, et al.
Published: (2025) -
PolicyEvol-Agent: Evolving Policy via Environment Perception and Self-Awareness with Theory of Mind
by: Yu, Yajie, et al.
Published: (2025) -
One-Way Policy Optimization for Self-Evolving LLMs
by: Yang, Shuo, et al.
Published: (2026) -
MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents
by: Zhang, Haozhen, et al.
Published: (2026) -
EvolveMem:Self-Evolving Memory Architecture via AutoResearch for LLM Agents
by: Liu, Jiaqi, et al.
Published: (2026)