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1709.06560
Cited By
Deep Reinforcement Learning that Matters
19 September 2017
Peter Henderson
Riashat Islam
Philip Bachman
Joelle Pineau
Doina Precup
D. Meger
OffRL
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Papers citing
"Deep Reinforcement Learning that Matters"
50 / 316 papers shown
Title
Deep Reinforcement Learning at the Edge of the Statistical Precipice
Rishabh Agarwal
Max Schwarzer
Pablo Samuel Castro
Aaron Courville
Marc G. Bellemare
OffRL
56
633
0
30 Aug 2021
Federated Reinforcement Learning: Techniques, Applications, and Open Challenges
Jiaju Qi
Qihao Zhou
Lei Lei
Kan Zheng
FedML
31
145
0
26 Aug 2021
Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays
Somjit Nath
Mayank Baranwal
H. Khadilkar
OffRL
22
28
0
17 Aug 2021
A Survey on Deep Reinforcement Learning for Data Processing and Analytics
Qingpeng Cai
Can Cui
Yiyuan Xiong
Wei Wang
Zhongle Xie
Meihui Zhang
OffRL
21
29
0
10 Aug 2021
Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning
Iou-Jen Liu
Zhongzheng Ren
Raymond A. Yeh
A. Schwing
27
15
0
06 Aug 2021
A Pragmatic Look at Deep Imitation Learning
Kai Arulkumaran
D. Lillrank
29
9
0
04 Aug 2021
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
Iou-Jen Liu
Unnat Jain
Raymond A. Yeh
A. Schwing
36
104
0
23 Jul 2021
Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings
Shengpu Tang
Jenna Wiens
OffRL
26
78
0
23 Jul 2021
The Benchmark Lottery
Mostafa Dehghani
Yi Tay
A. Gritsenko
Zhe Zhao
N. Houlsby
Fernando Diaz
Donald Metzler
Oriol Vinyals
42
89
0
14 Jul 2021
Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks
Ruohan Zhang
F. Torabi
Garrett A. Warnell
Peter Stone
73
28
0
13 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research
J. Luis
E. Crawley
B. Cameron
OffRL
25
6
0
07 Jul 2021
Using AntiPatterns to avoid MLOps Mistakes
Nikhil Muralidhar
Sathappah Muthiah
P. Butler
Manish Jain
Yu Yu
...
Weipeng Li
David Jones
P. Arunachalam
Hays Mccormick
Naren Ramakrishnan
17
17
0
30 Jun 2021
Randomness In Neural Network Training: Characterizing The Impact of Tooling
Donglin Zhuang
Xingyao Zhang
Shuaiwen Leon Song
Sara Hooker
25
75
0
22 Jun 2021
A Minimalist Approach to Offline Reinforcement Learning
Scott Fujimoto
S. Gu
OffRL
55
780
0
12 Jun 2021
Offline Reinforcement Learning as Anti-Exploration
Shideh Rezaeifar
Robert Dadashi
Nino Vieillard
Léonard Hussenot
Olivier Bachem
Olivier Pietquin
M. Geist
OffRL
34
51
0
11 Jun 2021
Simplifying Deep Reinforcement Learning via Self-Supervision
Daochen Zha
Kwei-Herng Lai
Kaixiong Zhou
Xia Hu
SSL
28
15
0
10 Jun 2021
XIRL: Cross-embodiment Inverse Reinforcement Learning
Kevin Zakka
Andy Zeng
Peter R. Florence
Jonathan Tompson
Jeannette Bohg
Debidatta Dwibedi
SSL
32
118
0
07 Jun 2021
Same State, Different Task: Continual Reinforcement Learning without Interference
Samuel Kessler
Jack Parker-Holder
Philip J. Ball
S. Zohren
Stephen J. Roberts
CLL
OffRL
19
46
0
05 Jun 2021
What Matters for Adversarial Imitation Learning?
Manu Orsini
Anton Raichuk
Léonard Hussenot
Damien Vincent
Robert Dadashi
Sertan Girgin
M. Geist
Olivier Bachem
Olivier Pietquin
Marcin Andrychowicz
42
77
0
01 Jun 2021
Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural Architectures for Real-Time Strategy Games
Won Joon Yun
Sungwon Yi
Joongheon Kim
20
10
0
21 May 2021
Spectral Normalisation for Deep Reinforcement Learning: an Optimisation Perspective
Florin Gogianu
Tudor Berariu
Mihaela Rosca
Claudia Clopath
L. Buşoniu
Razvan Pascanu
21
52
0
11 May 2021
Deep reinforcement learning-designed radiofrequency waveform in MRI
Dongmyung Shin
Younghoon Kim
Chung‐Hyok Oh
Hongjun An
Juhyung Park
Jiye G. Kim
Jongho Lee
21
20
0
07 May 2021
Robotic Surgery With Lean Reinforcement Learning
Yotam Barnoy
Molly O'Brien
Luu Anh Tuan
Gregory D. Hager
OffRL
41
20
0
03 May 2021
MBRL-Lib: A Modular Library for Model-based Reinforcement Learning
Luis Pineda
Brandon Amos
Amy Zhang
Nathan Lambert
Roberto Calandra
OffRL
25
46
0
20 Apr 2021
mlf-core: a framework for deterministic machine learning
Lukas Heumos
Philipp Ehmele
Luis Kuhn Cuellar
Kevin Menden
Edmund Miller
Steffen Lemke
G. Gabernet
S. Nahnsen
AI4CE
11
3
0
15 Apr 2021
A Dynamics Perspective of Pursuit-Evasion Games of Intelligent Agents with the Ability to Learn
Hao Xiong
Huanhui Cao
Lin Zhang
Wenjie Lu
19
3
0
03 Apr 2021
Model Selection's Disparate Impact in Real-World Deep Learning Applications
Jessica Zosa Forde
A. Feder Cooper
Kweku Kwegyir-Aggrey
Chris De Sa
Michael Littman
11
22
0
01 Apr 2021
Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow
John Mcleod
Hrvoje Stojić
Vincent Adam
Dongho Kim
Jordi Grau-Moya
Peter Vrancx
Felix Leibfried
OffRL
21
2
0
26 Mar 2021
Learning to Fly -- a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control
Jacopo Panerati
Hehui Zheng
Siqi Zhou
James Xu
Amanda Prorok
Angela P. Schoellig University of Toronto Institute for A Studies
AI4CE
22
155
0
03 Mar 2021
Offline Reinforcement Learning with Pseudometric Learning
Robert Dadashi
Shideh Rezaeifar
Nino Vieillard
Léonard Hussenot
Olivier Pietquin
M. Geist
OffRL
31
40
0
02 Mar 2021
Accounting for Variance in Machine Learning Benchmarks
Xavier Bouthillier
Pierre Delaunay
Mirko Bronzi
Assya Trofimov
Brennan Nichyporuk
...
Dmitriy Serdyuk
Tal Arbel
C. Pal
Gaël Varoquaux
Pascal Vincent
26
148
0
01 Mar 2021
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning
Bangnig Zhang
Raghunandan Rajan
Luis Pineda
Nathan Lambert
André Biedenkapp
Kurtland Chua
Frank Hutter
Roberto Calandra
13
100
0
26 Feb 2021
Learning Efficient Navigation in Vortical Flow Fields
Peter Gunnarson
Ioannis Mandralis
G. Novati
Petros Koumoutsakos
J. Dabiri
26
68
0
21 Feb 2021
Multi-Task Reinforcement Learning with Context-based Representations
Shagun Sodhani
Amy Zhang
Joelle Pineau
32
181
0
11 Feb 2021
On the Reproducibility of Neural Network Predictions
Srinadh Bhojanapalli
Kimberly Wilber
Andreas Veit
A. S. Rawat
Seungyeon Kim
A. Menon
Sanjiv Kumar
29
35
0
05 Feb 2021
Embodied Intelligence via Learning and Evolution
Agrim Gupta
Silvio Savarese
Surya Ganguli
Li Fei-Fei
AI4CE
22
230
0
03 Feb 2021
LISPR: An Options Framework for Policy Reuse with Reinforcement Learning
D. Graves
Jun Jin
Jun Luo
38
2
0
29 Dec 2020
POPO: Pessimistic Offline Policy Optimization
Qiang He
Xinwen Hou
OffRL
29
10
0
26 Dec 2020
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search
Y. Fu
Zhongzhi Yu
Yongan Zhang
Yingyan Lin
22
4
0
24 Dec 2020
Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach
James Queeney
I. Paschalidis
Christos G. Cassandras
15
9
0
19 Dec 2020
MRAC-RL: A Framework for On-Line Policy Adaptation Under Parametric Model Uncertainty
A. Guha
Anuradha M. Annaswamy
31
12
0
20 Nov 2020
Revisiting Rainbow: Promoting more Insightful and Inclusive Deep Reinforcement Learning Research
J. Obando-Ceron
Pablo Samuel Castro
OffRL
9
105
0
20 Nov 2020
The Fundamental Principles of Reproducibility
Odd Erik Gundersen
16
61
0
19 Nov 2020
Avoiding Tampering Incentives in Deep RL via Decoupled Approval
J. Uesato
Ramana Kumar
Victoria Krakovna
Tom Everitt
Richard Ngo
Shane Legg
26
14
0
17 Nov 2020
Dirichlet policies for reinforced factor portfolios
Eric André
Guillaume Coqueret
22
6
0
10 Nov 2020
f-IRL: Inverse Reinforcement Learning via State Marginal Matching
Tianwei Ni
Harshit S. Sikchi
Yufei Wang
Tejus Gupta
Lisa Lee
Benjamin Eysenbach
13
72
0
09 Nov 2020
Cooperative Heterogeneous Deep Reinforcement Learning
Han Zheng
Pengfei Wei
Jing Jiang
Guodong Long
Qinghua Lu
Chengqi Zhang
49
12
0
02 Nov 2020
Behavior Priors for Efficient Reinforcement Learning
Dhruva Tirumala
Alexandre Galashov
Hyeonwoo Noh
Leonard Hasenclever
Razvan Pascanu
...
Guillaume Desjardins
Wojciech M. Czarnecki
Arun Ahuja
Yee Whye Teh
N. Heess
37
39
0
27 Oct 2020
How to Make Deep RL Work in Practice
Nirnai Rao
Elie Aljalbout
Axel Sauer
Sami Haddadin
OffRL
6
11
0
25 Oct 2020
Evaluating the Safety of Deep Reinforcement Learning Models using Semi-Formal Verification
Davide Corsi
Enrico Marchesini
Alessandro Farinelli
OffRL
14
2
0
19 Oct 2020
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