ADAPTER-RL: Adaptation of Any Agent using Reinforcement Learning

Yizhao Jin, Greg Slabaugh, Simon Lucas

Deep Reinforcement Learning (DRL) agents frequently face challenges in adapting to tasks outside their training distribution, including issues with over-fitting, catastrophic forge…