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ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search

ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search

6 November 2018
Gary Cheng
Kannan Ramchandran
L. Ghaoui
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Papers citing "ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search"

7 / 7 papers shown
Title
One is More: Diverse Perspectives within a Single Network for Efficient
  DRL
One is More: Diverse Perspectives within a Single Network for Efficient DRL
Yiqin Tan
Ling Pan
Longbo Huang
OffRL
43
0
0
21 Oct 2023
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control
  via Sample Multiple Reuse
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse
Jiafei Lyu
Le Wan
Zongqing Lu
Xiu Li
OffRL
36
9
0
29 May 2023
TASAC: a twin-actor reinforcement learning framework with stochastic
  policy for batch process control
TASAC: a twin-actor reinforcement learning framework with stochastic policy for batch process control
Tanuja Joshi
H. Kodamana
Harikumar Kandath
N. Kaisare
OffRL
27
0
0
22 Apr 2022
MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep
  Reinforcement Learning
MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep Reinforcement Learning
Qiang He
Yuxun Qu
Chen Gong
Xinwen Hou
OffRL
22
10
0
22 Sep 2021
Multi-Path Policy Optimization
Multi-Path Policy Optimization
L. Pan
Qingpeng Cai
Longbo Huang
18
2
0
11 Nov 2019
DAC: The Double Actor-Critic Architecture for Learning Options
DAC: The Double Actor-Critic Architecture for Learning Options
Shangtong Zhang
Shimon Whiteson
30
72
0
29 Apr 2019
Deep Reinforcement Learning with Decorrelation
Deep Reinforcement Learning with Decorrelation
B. Mavrin
Hengshuai Yao
Linglong Kong
37
8
0
18 Mar 2019
1