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Benchmarking Batch Deep Reinforcement Learning Algorithms

Benchmarking Batch Deep Reinforcement Learning Algorithms

3 October 2019
Shih-Han Chou
Wen-Yen Chang
W. Hsu
Jianlong Fu
    OffRL
ArXivPDFHTML

Papers citing "Benchmarking Batch Deep Reinforcement Learning Algorithms"

5 / 105 papers shown
Title
TanksWorld: A Multi-Agent Environment for AI Safety Research
TanksWorld: A Multi-Agent Environment for AI Safety Research
Corban G. Rivera
Olivia Lyons
Arielle Summitt
Ayman Fatima
J. Pak
...
R. Chalmers
Aryeh Englander
Edward W. Staley
I. Wang
Ashley J. Llorens
11
2
0
25 Feb 2020
BRPO: Batch Residual Policy Optimization
BRPO: Batch Residual Policy Optimization
Kentaro Kanamori
Yinlam Chow
Takuya Takagi
Hiroki Arimura
Honglak Lee
Ken Kobayashi
Craig Boutilier
OffRL
141
46
0
08 Feb 2020
BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement
  Learning
BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning
Xinyue Chen
Zijian Zhou
Zhilin Wang
Che Wang
Yanqiu Wu
Keith Ross
OffRL
30
121
0
27 Oct 2019
A Theoretical Analysis of Deep Q-Learning
A Theoretical Analysis of Deep Q-Learning
Jianqing Fan
Zhuoran Yang
Yuchen Xie
Zhaoran Wang
23
596
0
01 Jan 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,156
0
06 Jun 2015
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