Enhancing Offline Model-Based RL via Active Model Selection: A Bayesian Optimization Perspective

Yu-Wei Yang, Yun-Ming Chan, Wei Hung +2

Offline model-based reinforcement learning (MBRL) serves as a competitive framework that can learn well-performing policies solely from pre-collected data with the help of learned…