AACC: Asymmetric Actor-Critic in Contextual Reinforcement Learning

no code implementations • 3 Aug 2022 • Wangyang Yue, Yuan Zhou, Xiaochuan Zhang, Yuchen Hua, Zhiyuan Wang, Guang Kou

Various methods, such as domain randomization, have been proposed to deal with such situations by training agents under different environmental setups, and therefore they can be generalized to different environments during deployment.

reinforcement-learning Reinforcement Learning (RL)