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#Experience Replay

EvoFSM: Controllable Self-Evolution for Deep Research with Finite State Machines

Shuo Zhang, Chaofa Yuan et al.Jan 14arXiv

EvoFSM is a way for AI agents to improve themselves safely by editing a clear flowchart (an FSM) instead of rewriting everything blindly.

#Finite State Machine#Structured Self-Evolution#Atomic Operations

Reinforcement Learning for Self-Improving Agent with Skill Library

Jiongxiao Wang, Qiaojing Yan et al.Dec 18arXiv

This paper teaches AI agents to learn new reusable skills and get better over time by using reinforcement learning, not just prompts.

#Reinforcement Learning#Skill Library#Sequential Rollout