Efficient Reinforcemen Learning via Decoupling Exploration and Utilization

1 code implementation • 26 Dec 2023 • Jingpu Yang, Qirui Zhao, Helin Wang, Yuxiao Huang, Zirui Song, Miao Fang

OPARL employs a unique dual-actor approach: an optimistic actor dedicated to exploration and a pessimistic actor focused on utilization, thereby effectively differentiating between exploration and utilization strategies.

reinforcement-learning