no code implementations • NeurIPS 2023 • Taehyun Cho, Seungyub Han, Heesoo Lee, Kyungjae Lee, Jungwoo Lee
Distributional reinforcement learning algorithms have attempted to utilize estimated uncertainty for exploration, such as optimism in the face of uncertainty.
Distributional Reinforcement Learning reinforcement-learning
no code implementations • 29 Sep 2021 • Tae Hyun Cho, Sungyeob Han, Heesoo Lee, Kyungjae Lee, Jungwoo Lee
Distributional reinforcement learning aims to learn distribution of return under stochastic environments.