MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep Reinforcement Learning

22 September 2021

Papers citing "MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep Reinforcement Learning"

6 / 6 papers shown

Title
Ensemble Reinforcement Learning: A Survey Yanjie Song Ponnuthurai Nagaratnam Suganthan Witold Pedrycz Junwei Ou Yongming He Y. Chen Yutong Wu OffRL 46 39 0 05 Mar 2023
Improving Deep Policy Gradients with Value Function Search Enrico Marchesini Chris Amato 20 9 0 20 Feb 2023
BAFFLE: Hiding Backdoors in Offline Reinforcement Learning Datasets Chen Gong Zhou Yang Yunru Bai Junda He Jieke Shi ... Arunesh Sinha Bowen Xu Xinwen Hou David Lo Guoliang Fan AAML OffRL 21 7 0 07 Oct 2022
Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning Qiang He Huangyuan Su Jieyu Zhang Xinwen Hou OOD OffRL 22 6 0 29 May 2022
Dropout Q-Functions for Doubly Efficient Reinforcement Learning Takuya Hiraoka Takahisa Imagawa Taisei Hashimoto Takashi Onishi Yoshimasa Tsuruoka 11 104 0 05 Oct 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015