$Agen{t}^2$: An Agent-Generates-Agent Framework for Reinforcement Learning Automation

Yuan Wei, Xiaohan Shan, Ran Miao +1

Reinforcement learning (RL) agent development traditionally requires substantial expertise and iterative effort, often leading to high failure rates and limited accessibility. This…