1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 1 cited
PACER: A Fully Push-forward-based Distributional Reinforcement Learning Algorithm
Wensong Bai, Chao Zhang, Yichao Fu +3
In this paper, we propose the first fully push-forward-based distributional reinforcement learning algorithm, named PACER, which consists of a distributional critic, a stochastic a…
cs.LG2021
Generative Actor-Critic: An Off-policy Algorithm Using the Push-forward Model
Lingwei Peng, Hui Qian, Zhebang Shen +2
Model-free deep reinforcement learning has achieved great success in many domains, such as video games, recommendation systems and robotic control tasks. In continuous control task…