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Importance of using appropriate baselines for evaluation of
  data-efficiency in deep reinforcement learning for Atari

Importance of using appropriate baselines for evaluation of data-efficiency in deep reinforcement learning for Atari

23 March 2020
Kacper Kielak
    OffRL
ArXivPDFHTML

Papers citing "Importance of using appropriate baselines for evaluation of data-efficiency in deep reinforcement learning for Atari"

16 / 16 papers shown
Title
Model-Based Reinforcement Learning for Atari
Model-Based Reinforcement Learning for Atari
Lukasz Kaiser
Mohammad Babaeizadeh
Piotr Milos
B. Osinski
R. Campbell
...
Sergey Levine
Afroz Mohiuddin
Ryan Sepassi
George Tucker
Henryk Michalewski
OffRL
124
860
0
01 Mar 2019
Dopamine: A Research Framework for Deep Reinforcement Learning
Dopamine: A Research Framework for Deep Reinforcement Learning
Pablo Samuel Castro
Subhodeep Moitra
Carles Gelada
Saurabh Kumar
Marc G. Bellemare
OffRL
68
278
0
14 Dec 2018
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search
Lars Buesing
T. Weber
Yori Zwols
S. Racanière
A. Guez
Jean-Baptiste Lespiau
N. Heess
CML
109
137
0
15 Nov 2018
The Effect of Planning Shape on Dyna-style Planning in High-dimensional
  State Spaces
The Effect of Planning Shape on Dyna-style Planning in High-dimensional State Spaces
G. Z. Holland
Erik Talvitie
Michael Bowling
AI4CE
44
43
0
05 Jun 2018
Sample-Efficient Deep Reinforcement Learning via Episodic Backward
  Update
Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update
Su Young Lee
Sung-Ik Choi
Sae-Young Chung
BDL
48
75
0
31 May 2018
World Models
World Models
David R Ha
Jürgen Schmidhuber
SyDa
119
1,082
0
27 Mar 2018
Rainbow: Combining Improvements in Deep Reinforcement Learning
Rainbow: Combining Improvements in Deep Reinforcement Learning
Matteo Hessel
Joseph Modayil
H. V. Hasselt
Tom Schaul
Georg Ostrovski
Will Dabney
Dan Horgan
Bilal Piot
M. G. Azar
David Silver
OffRL
107
2,264
0
06 Oct 2017
Revisiting the Arcade Learning Environment: Evaluation Protocols and
  Open Problems for General Agents
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents
Marlos C. Machado
Marc G. Bellemare
Erik Talvitie
J. Veness
Matthew J. Hausknecht
Michael Bowling
71
552
0
18 Sep 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
478
19,019
0
20 Jul 2017
Imagination-Augmented Agents for Deep Reinforcement Learning
Imagination-Augmented Agents for Deep Reinforcement Learning
T. Weber
S. Racanière
David P. Reichert
Lars Buesing
A. Guez
...
Razvan Pascanu
Peter W. Battaglia
Demis Hassabis
David Silver
Daan Wierstra
LM&Ro
94
557
0
19 Jul 2017
Value Prediction Network
Value Prediction Network
Junhyuk Oh
Satinder Singh
Honglak Lee
74
333
0
11 Jul 2017
A Deep Learning Approach for Joint Video Frame and Reward Prediction in
  Atari Games
A Deep Learning Approach for Joint Video Frame and Reward Prediction in Atari Games
Felix Leibfried
Nate Kushman
Katja Hofmann
132
43
0
21 Nov 2016
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
323
19,643
0
21 Nov 2016
Action-Conditional Video Prediction using Deep Networks in Atari Games
Action-Conditional Video Prediction using Deep Networks in Atari Games
Junhyuk Oh
Xiaoxiao Guo
Honglak Lee
Richard L. Lewis
Satinder Singh
103
852
0
31 Jul 2015
Trust Region Policy Optimization
Trust Region Policy Optimization
John Schulman
Sergey Levine
Philipp Moritz
Michael I. Jordan
Pieter Abbeel
277
6,767
0
19 Feb 2015
The Arcade Learning Environment: An Evaluation Platform for General
  Agents
The Arcade Learning Environment: An Evaluation Platform for General Agents
Marc G. Bellemare
Yavar Naddaf
J. Veness
Michael Bowling
114
3,006
0
19 Jul 2012
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