no code implementations • NeurIPS 2021 • Jinxin Liu, Hao Shen, Donglin Wang, Yachen Kang, Qiangxing Tian
Unsupervised reinforcement learning aims to acquire skills without prior goal representations, where an agent automatically explores an open-ended environment to represent goals and learn the goal-conditioned policy.
no code implementations • 11 Apr 2021 • Jinxin Liu, Donglin Wang, Qiangxing Tian, Zhengyu Chen
It is of significance for an agent to learn a widely applicable and general-purpose policy that can achieve diverse goals including images and text descriptions.
no code implementations • 25 Sep 2019 • Qiangxing Tian, Jinxin Liu, Donglin Wang
By maximizing an information theoretic objective, a few recent methods empower the agent to explore the environment and learn useful skills without supervision.