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Deep Reinforcement Learning that Matters

Deep Reinforcement Learning that Matters

19 September 2017
Peter Henderson
Riashat Islam
Philip Bachman
Joelle Pineau
Doina Precup
David Meger
    OffRL
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Papers citing "Deep Reinforcement Learning that Matters"

29 / 379 papers shown
Title
Deterministic Implementations for Reproducibility in Deep Reinforcement
  Learning
Deterministic Implementations for Reproducibility in Deep Reinforcement Learning
P. Nagarajan
Garrett A. Warnell
Peter Stone
22
51
0
15 Sep 2018
Improving Optimization Bounds using Machine Learning: Decision Diagrams
  meet Deep Reinforcement Learning
Improving Optimization Bounds using Machine Learning: Decision Diagrams meet Deep Reinforcement Learning
Quentin Cappart
Emmanuel Goutierre
David Bergman
Louis-Martin Rousseau
AI4CE
26
55
0
10 Sep 2018
How clever is the FiLM model, and how clever can it be?
How clever is the FiLM model, and how clever can it be?
A. Kuhnle
Huiyuan Xie
Ann A. Copestake
30
6
0
09 Sep 2018
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward
  Bias in Adversarial Imitation Learning
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning
Ilya Kostrikov
Kumar Krishna Agrawal
Debidatta Dwibedi
Sergey Levine
Jonathan Tompson
35
256
0
09 Sep 2018
A Study of Reinforcement Learning for Neural Machine Translation
A Study of Reinforcement Learning for Neural Machine Translation
Lijun Wu
Fei Tian
Tao Qin
Jianhuang Lai
Tie-Yan Liu
OffRL
27
182
0
27 Aug 2018
The Influence of Down-Sampling Strategies on SVD Word Embedding
  Stability
The Influence of Down-Sampling Strategies on SVD Word Embedding Stability
Johannes Hellrich
B. Kampe
U. Hahn
22
10
0
21 Aug 2018
Policy Optimization as Wasserstein Gradient Flows
Policy Optimization as Wasserstein Gradient Flows
Ruiyi Zhang
Changyou Chen
Chunyuan Li
Lawrence Carin
14
66
0
09 Aug 2018
CIRL: Controllable Imitative Reinforcement Learning for Vision-based
  Self-driving
CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving
Xiaodan Liang
Tairui Wang
Luona Yang
Eric Xing
27
267
0
10 Jul 2018
Troubling Trends in Machine Learning Scholarship
Troubling Trends in Machine Learning Scholarship
Zachary Chase Lipton
Jacob Steinhardt
29
288
0
09 Jul 2018
A Dissection of Overfitting and Generalization in Continuous
  Reinforcement Learning
A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning
Amy Zhang
Nicolas Ballas
Joelle Pineau
CLL
OffRL
33
177
0
20 Jun 2018
Constrained Policy Improvement for Safe and Efficient Reinforcement
  Learning
Constrained Policy Improvement for Safe and Efficient Reinforcement Learning
Elad Sarafian
Aviv Tamar
Sarit Kraus
OffRL
32
11
0
20 May 2018
Reward Estimation for Variance Reduction in Deep Reinforcement Learning
Reward Estimation for Variance Reduction in Deep Reinforcement Learning
Joshua Romoff
Peter Henderson
Alexandre Piché
Vincent François-Lavet
Joelle Pineau
8
42
0
09 May 2018
Reinforced Co-Training
Reinforced Co-Training
Jiawei Wu
Lei Li
William Yang Wang
OffRL
25
51
0
17 Apr 2018
Learning to Run challenge solutions: Adapting reinforcement learning
  methods for neuromusculoskeletal environments
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments
L. Kidzinski
Sharada Mohanty
Carmichael F. Ong
Zhewei Huang
Shuchang Zhou
...
Sean F. Carroll
Jennifer Hicks
Sergey Levine
M. Salathé
Scott L. Delp
40
88
0
02 Apr 2018
Setting up a Reinforcement Learning Task with a Real-World Robot
Setting up a Reinforcement Learning Task with a Real-World Robot
A. R. Mahmood
D. Korenkevych
Brent Komer
James Bergstra
26
75
0
19 Mar 2018
Feedback Control For Cassie With Deep Reinforcement Learning
Feedback Control For Cassie With Deep Reinforcement Learning
Zhaoming Xie
Glen Berseth
Patrick Clary
J. Hurst
M. van de Panne
27
174
0
15 Mar 2018
Policy Search in Continuous Action Domains: an Overview
Policy Search in Continuous Action Domains: an Overview
Olivier Sigaud
F. Stulp
16
72
0
13 Mar 2018
Structured Control Nets for Deep Reinforcement Learning
Structured Control Nets for Deep Reinforcement Learning
Mario Srouji
Jian Zhang
Ruslan Salakhutdinov
33
43
0
22 Feb 2018
Clipped Action Policy Gradient
Clipped Action Policy Gradient
Yasuhiro Fujita
S. Maeda
OffRL
34
37
0
21 Feb 2018
State Representation Learning for Control: An Overview
State Representation Learning for Control: An Overview
Timothée Lesort
Natalia Díaz Rodríguez
Jean-François Goudou
David Filliat
OffRL
33
319
0
12 Feb 2018
Innateness, AlphaZero, and Artificial Intelligence
Innateness, AlphaZero, and Artificial Intelligence
G. Marcus
30
73
0
17 Jan 2018
Solutions to problems with deep learning
Solutions to problems with deep learning
J. Wolff
32
10
0
08 Jan 2018
DeepMind Control Suite
DeepMind Control Suite
Yuval Tassa
Yotam Doron
Alistair Muldal
Tom Erez
Yazhe Li
...
A. Abdolmaleki
J. Merel
Andrew Lefrancq
Timothy Lillicrap
Martin Riedmiller
ELM
LM&Ro
BDL
56
1,105
0
02 Jan 2018
SBEED: Convergent Reinforcement Learning with Nonlinear Function
  Approximation
SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation
Bo Dai
Albert Eaton Shaw
Lihong Li
Lin Xiao
Niao He
Zhen Liu
Jianshu Chen
Le Song
34
25
0
29 Dec 2017
Boosting the Actor with Dual Critic
Boosting the Actor with Dual Critic
Bo Dai
Albert Eaton Shaw
Niao He
Lihong Li
Le Song
35
46
0
29 Dec 2017
Time Limits in Reinforcement Learning
Time Limits in Reinforcement Learning
Fabio Pardo
Arash Tavakoli
Vitaly Levdik
Petar Kormushev
CLL
44
158
0
01 Dec 2017
CARLA: An Open Urban Driving Simulator
CARLA: An Open Urban Driving Simulator
Alexey Dosovitskiy
G. Ros
Felipe Codevilla
Antonio M. López
V. Koltun
VLM
101
5,079
0
10 Nov 2017
Pitfalls and Best Practices in Algorithm Configuration
Pitfalls and Best Practices in Algorithm Configuration
Katharina Eggensperger
Marius Lindauer
Frank Hutter
32
62
0
17 May 2017
A Plea for Neutral Comparison Studies in Computational Sciences
A Plea for Neutral Comparison Studies in Computational Sciences
A. Boulesteix
M. Eugster
56
119
0
13 Aug 2012
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