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Is Deep Reinforcement Learning Really Superhuman on Atari? Leveling the
  playing field
v1v2v3v4v5 (latest)

Is Deep Reinforcement Learning Really Superhuman on Atari? Leveling the playing field

Neural Information Processing Systems (NeurIPS), 2019
13 August 2019
Marin Toromanoff
É. Wirbel
Fabien Moutarde
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Is Deep Reinforcement Learning Really Superhuman on Atari? Leveling the playing field"

20 / 20 papers shown
Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PC
Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PC
Tyler Clark
Mark Towers
Christine Evers
Jonathon Hare
OffRL
507
5
0
06 Nov 2024
HackAtari: Atari Learning Environments for Robust and Continual
  Reinforcement Learning
HackAtari: Atari Learning Environments for Robust and Continual Reinforcement Learning
Quentin Delfosse
Johannes Czech
Bjarne Gregori
Kristian Kersting
336
10
0
06 Jun 2024
Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement
  Learning
Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning
Shengyi Huang
Quentin Gallouedec
Florian Felten
Antonin Raffin
Rousslan Fernand Julien Dossa
...
Alexander Nikulin
Xiao Hu
Tianlin Liu
Jongwook Choi
Brent Yi
OffRL
262
20
0
05 Feb 2024
OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments
OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments
Quentin Delfosse
Johannes Czech
Bjarne Gregori
Sebastian Sztwiertnia
Kristian Kersting
495
25
0
14 Jun 2023
Eventual Discounting Temporal Logic Counterfactual Experience Replay
Eventual Discounting Temporal Logic Counterfactual Experience ReplayInternational Conference on Machine Learning (ICML), 2023
Cameron Voloshin
Abhinav Verma
Yisong Yue
OffRL
197
19
0
03 Mar 2023
Generalized Data Distribution Iteration
Generalized Data Distribution IterationInternational Conference on Machine Learning (ICML), 2022
Jiajun Fan
Changnan Xiao
OffRL
259
15
0
07 Jun 2022
A General, Evolution-Inspired Reward Function for Social Robotics
A General, Evolution-Inspired Reward Function for Social Robotics
Thomas Kingsford
198
1
0
01 Feb 2022
A Review for Deep Reinforcement Learning in Atari:Benchmarks,
  Challenges, and Solutions
A Review for Deep Reinforcement Learning in Atari:Benchmarks, Challenges, and Solutions
Jiajun Fan
OffRL
349
24
0
08 Dec 2021
GRI: General Reinforced Imitation and its Application to Vision-Based
  Autonomous Driving
GRI: General Reinforced Imitation and its Application to Vision-Based Autonomous Driving
Raphael Chekroun
Marin Toromanoff
Sascha Hornauer
Fabien Moutarde
206
86
0
16 Nov 2021
More Efficient Exploration with Symbolic Priors on Action Sequence
  Equivalences
More Efficient Exploration with Symbolic Priors on Action Sequence Equivalences
Toby Johnstone
Nathan Grinsztajn
Johan Ferret
Philippe Preux
139
0
0
20 Oct 2021
End-to-End Urban Driving by Imitating a Reinforcement Learning Coach
End-to-End Urban Driving by Imitating a Reinforcement Learning Coach
Zhejun Zhang
Alexander Liniger
Dengxin Dai
Feng Yu
Luc Van Gool
422
281
0
18 Aug 2021
GDI: Rethinking What Makes Reinforcement Learning Different From
  Supervised Learning
GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning
Jiajun Fan
Changnan Xiao
Yue Huang
OffRL
281
11
0
11 Jun 2021
Spectral Normalisation for Deep Reinforcement Learning: an Optimisation
  Perspective
Spectral Normalisation for Deep Reinforcement Learning: an Optimisation PerspectiveInternational Conference on Machine Learning (ICML), 2021
Florin Gogianu
Tudor Berariu
Mihaela Rosca
Claudia Clopath
L. Buşoniu
Razvan Pascanu
276
60
0
11 May 2021
CASA: Bridging the Gap between Policy Improvement and Policy Evaluation
  with Conflict Averse Policy Iteration
CASA: Bridging the Gap between Policy Improvement and Policy Evaluation with Conflict Averse Policy Iteration
Changnan Xiao
Haosen Shi
Jiajun Fan
Shihong Deng
Haiyan Yin
286
0
0
09 May 2021
Shielding Atari Games with Bounded Prescience
Shielding Atari Games with Bounded PrescienceAdaptive Agents and Multi-Agent Systems (AAMAS), 2021
Mirco Giacobbe
Mohammadhosein Hasanbeig
Daniel Kroening
H. Wijk
172
25
0
20 Jan 2021
Mastering Atari with Discrete World Models
Mastering Atari with Discrete World ModelsInternational Conference on Learning Representations (ICLR), 2020
Danijar Hafner
Timothy Lillicrap
Mohammad Norouzi
Jimmy Ba
DRL
773
1,053
0
05 Oct 2020
First return, then explore
First return, then exploreNature (Nature), 2020
Adrien Ecoffet
Joost Huizinga
Joel Lehman
Kenneth O. Stanley
Jeff Clune
710
409
0
27 Apr 2020
Agent57: Outperforming the Atari Human Benchmark
Agent57: Outperforming the Atari Human BenchmarkInternational Conference on Machine Learning (ICML), 2020
Adria Puigdomenech Badia
Bilal Piot
Steven Kapturowski
Pablo Sprechmann
Alex Vitvitskyi
Daniel Guo
Charles Blundell
OffRL
274
567
0
30 Mar 2020
No-Regret Exploration in Goal-Oriented Reinforcement Learning
No-Regret Exploration in Goal-Oriented Reinforcement LearningInternational Conference on Machine Learning (ICML), 2019
Jean Tarbouriech
Evrard Garcelon
Michal Valko
Matteo Pirotta
A. Lazaric
267
48
0
07 Dec 2019
Simulation-based reinforcement learning for real-world autonomous
  driving
Simulation-based reinforcement learning for real-world autonomous drivingIEEE International Conference on Robotics and Automation (ICRA), 2019
B. Osinski
Adam Jakubowski
Piotr Milos
Pawel Ziecina
Christopher Galias
S. Homoceanu
Henryk Michalewski
244
139
0
29 Nov 2019
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