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1908.03568
Cited By
Behaviour Suite for Reinforcement Learning
9 August 2019
Ian Osband
Yotam Doron
Matteo Hessel
John Aslanides
Eren Sezener
Andre Saraiva
Katrina McKinney
Tor Lattimore
Csaba Szepesvári
Satinder Singh
Benjamin Van Roy
R. Sutton
David Silver
H. V. Hasselt
OffRL
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Papers citing
"Behaviour Suite for Reinforcement Learning"
40 / 40 papers shown
Title
Multi-Agent Reinforcement Learning Simulation for Environmental Policy Synthesis
James Rudd-Jones
Mirco Musolesi
María Pérez-Ortiz
34
0
0
17 Apr 2025
SocialJax: An Evaluation Suite for Multi-agent Reinforcement Learning in Sequential Social Dilemmas
Zihao Guo
Richard Willis
Richard Willis
Tristan Tomilin
Joel Z Leibo
Yali Du
55
0
0
18 Mar 2025
Can Learned Optimization Make Reinforcement Learning Less Difficult?
Alexander David Goldie
Chris Xiaoxuan Lu
Matthew Jackson
Shimon Whiteson
Jakob N. Foerster
42
3
0
09 Jul 2024
Simplifying Deep Temporal Difference Learning
Matteo Gallici
Mattie Fellows
Benjamin Ellis
B. Pou
Ivan Masmitja
Jakob Foerster
Mario Martin
OffRL
62
14
0
05 Jul 2024
Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgent
Yingru Li
Jiawei Xu
Lei Han
Zhi-Quan Luo
BDL
OffRL
26
6
0
05 Feb 2024
EduGym: An Environment and Notebook Suite for Reinforcement Learning Education
Thomas M. Moerland
Matthias Muller-Brockhausen
Zhao Yang
Andrius Bernatavicius
Koen Ponse
Tom Kouwenhoven
Andreas Sauter
Michiel van der Meer
Bram M. Renting
Aske Plaat
OffRL
26
0
0
17 Nov 2023
Real-Time Recurrent Reinforcement Learning
Julian Lemmel
Radu Grosu
26
1
0
08 Nov 2023
Intrinsic Language-Guided Exploration for Complex Long-Horizon Robotic Manipulation Tasks
Wenke Huang
Filippos Christianos
Zhibin Li
34
8
0
28 Sep 2023
LLQL: Logistic Likelihood Q-Learning for Reinforcement Learning
Outongyi Lv
Bingxin Zhou
OffRL
38
0
0
05 Jul 2023
Diverse Projection Ensembles for Distributional Reinforcement Learning
Moritz A. Zanger
Wendelin Bohmer
M. Spaan
25
4
0
12 Jun 2023
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo
Haque Ishfaq
Qingfeng Lan
Pan Xu
A. R. Mahmood
Doina Precup
Anima Anandkumar
Kamyar Azizzadenesheli
BDL
OffRL
28
20
0
29 May 2023
Sample Efficient Deep Reinforcement Learning via Local Planning
Dong Yin
S. Thiagarajan
N. Lazić
Nived Rajaraman
Botao Hao
Csaba Szepesvári
20
4
0
29 Jan 2023
Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function
Clément Bonnet
Laurence Midgley
Alexandre Laterre
24
1
0
19 Nov 2022
Hardness in Markov Decision Processes: Theory and Practice
Michelangelo Conserva
Paulo E. Rauber
24
3
0
24 Oct 2022
Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter
Aleksandar Stanić
Yujin Tang
David R Ha
Jürgen Schmidhuber
ELM
29
12
0
05 Aug 2022
Incorporating Explicit Uncertainty Estimates into Deep Offline Reinforcement Learning
David Brandfonbrener
Rémi Tachet des Combes
Romain Laroche
OffRL
34
5
0
02 Jun 2022
Exploration in Deep Reinforcement Learning: A Survey
Pawel Ladosz
Lilian Weng
Minwoo Kim
H. Oh
OffRL
23
323
0
02 May 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Jack Parker-Holder
Raghunandan Rajan
Xingyou Song
André Biedenkapp
Yingjie Miao
...
Vu-Linh Nguyen
Roberto Calandra
Aleksandra Faust
Frank Hutter
Marius Lindauer
AI4CE
33
100
0
11 Jan 2022
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning
C. Benjamins
Theresa Eimer
Frederik Schubert
André Biedenkapp
Bodo Rosenhahn
Frank Hutter
Marius Lindauer
OffRL
41
23
0
05 Oct 2021
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
Mikayel Samvelyan
Robert Kirk
Vitaly Kurin
Jack Parker-Holder
Minqi Jiang
Eric Hambro
Fabio Petroni
Heinrich Küttler
Edward Grefenstette
Tim Rocktaschel
OffRL
238
89
0
27 Sep 2021
On Bonus-Based Exploration Methods in the Arcade Learning Environment
Adrien Ali Taïga
W. Fedus
Marlos C. Machado
Aaron Courville
Marc G. Bellemare
16
58
0
22 Sep 2021
Benchmarking the Spectrum of Agent Capabilities
Danijar Hafner
ELM
24
126
0
14 Sep 2021
Strategically Efficient Exploration in Competitive Multi-agent Reinforcement Learning
R. Loftin
Aadirupa Saha
Sam Devlin
Katja Hofmann
30
5
0
30 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
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
Nan Rosemary Ke
Aniket Didolkar
Sarthak Mittal
Anirudh Goyal
Guillaume Lajoie
Stefan Bauer
Danilo Jimenez Rezende
Yoshua Bengio
Michael C. Mozer
C. Pal
CML
29
54
0
02 Jul 2021
A Minimalist Approach to Offline Reinforcement Learning
Scott Fujimoto
S. Gu
OffRL
25
778
0
12 Jun 2021
On Instrumental Variable Regression for Deep Offline Policy Evaluation
Yutian Chen
Liyuan Xu
Çağlar Gülçehre
T. Paine
A. Gretton
Nando de Freitas
Arnaud Doucet
OffRL
39
18
0
21 May 2021
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL
Clément Romac
Rémy Portelas
Katja Hofmann
Pierre-Yves Oudeyer
27
21
0
17 Mar 2021
Regularized Behavior Value Estimation
Çağlar Gülçehre
Sergio Gomez Colmenarejo
Ziyun Wang
Jakub Sygnowski
T. Paine
Konrad Zolna
Yutian Chen
Matthew W. Hoffman
Razvan Pascanu
Nando de Freitas
OffRL
23
37
0
17 Mar 2021
Reinforcement Learning, Bit by Bit
Xiuyuan Lu
Benjamin Van Roy
Vikranth Dwaracherla
M. Ibrahimi
Ian Osband
Zheng Wen
27
70
0
06 Mar 2021
Training a Resilient Q-Network against Observational Interference
Chao-Han Huck Yang
I-Te Danny Hung
Ouyang Yi
Pin-Yu Chen
OOD
20
14
0
18 Feb 2021
DEUP: Direct Epistemic Uncertainty Prediction
Salem Lahlou
Moksh Jain
Hadi Nekoei
V. Butoi
Paul Bertin
Jarrid Rector-Brooks
Maksym Korablyov
Yoshua Bengio
PER
UQLM
UQCV
UD
202
81
0
16 Feb 2021
Geometric Entropic Exploration
Z. Guo
M. G. Azar
Alaa Saade
S. Thakoor
Bilal Piot
Bernardo Avila-Pires
Michal Valko
Thomas Mesnard
Tor Lattimore
Rémi Munos
30
30
0
06 Jan 2021
Revisiting Rainbow: Promoting more Insightful and Inclusive Deep Reinforcement Learning Research
J. Obando-Ceron
Pablo Samuel Castro
OffRL
9
105
0
20 Nov 2020
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
Ossama Ahmed
Frederik Trauble
Anirudh Goyal
Alexander Neitz
Yoshua Bengio
Bernhard Schölkopf
M. Wuthrich
Stefan Bauer
CML
27
120
0
08 Oct 2020
Acme: A Research Framework for Distributed Reinforcement Learning
Matthew W. Hoffman
Bobak Shahriari
John Aslanides
Gabriel Barth-Maron
Nikola Momchev
...
Srivatsan Srinivasan
A. Cowie
Ziyun Wang
Bilal Piot
Nando de Freitas
51
225
0
01 Jun 2020
Evolving Neural Networks through a Reverse Encoding Tree
Haoling Zhang
Chao-Han Huck Yang
Hector Zenil
N. Kiani
Yue-Hong Shen
Jesper N. Tegnér
11
5
0
03 Feb 2020
Making Sense of Reinforcement Learning and Probabilistic Inference
Brendan O'Donoghue
Ian Osband
Catalin Ionescu
OffRL
14
47
0
03 Jan 2020
Leveraging Procedural Generation to Benchmark Reinforcement Learning
K. Cobbe
Christopher Hesse
Jacob Hilton
John Schulman
22
541
0
03 Dec 2019
OpenSpiel: A Framework for Reinforcement Learning in Games
Marc Lanctot
Edward Lockhart
Jean-Baptiste Lespiau
V. Zambaldi
Satyaki Upadhyay
...
Julian Schrittwieser
Thomas W. Anthony
Edward Hughes
Ivo Danihelka
Jonah Ryan-Davis
OffRL
22
248
0
26 Aug 2019
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