A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
Paper
•
2508.07407
•
Published
•
98
Agents
-
-
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 126 -
WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent
Paper • 2508.05748 • Published • 141 -
Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL
Paper • 2508.13167 • Published • 129 -
MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers
Paper • 2508.14704 • Published • 43 -
AWorld: Orchestrating the Training Recipe for Agentic AI
Paper • 2508.20404 • Published • 38 -
Towards General Agentic Intelligence via Environment Scaling
Paper • 2509.13311 • Published • 71 -
ARE: Scaling Up Agent Environments and Evaluations
Paper • 2509.17158 • Published • 36 -
Agent Learning via Early Experience
Paper • 2510.08558 • Published • 272 -
Multi-Agent Tool-Integrated Policy Optimization
Paper • 2510.04678 • Published • 31 -
Training-Free Group Relative Policy Optimization
Paper • 2510.08191 • Published • 44 -
LLM-in-Sandbox Elicits General Agentic Intelligence
Paper • 2601.16206 • Published • 64