AutoForge: Automated Environment Synthesis for Agentic Reinforcement Learning

Shihao Cai, Runnan Fang, Jialong Wu +10

Conducting reinforcement learning (RL) in simulated environments offers a cost-effective and highly scalable way to enhance language-based agents. However, previous work has been l…