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1908.02388
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Benchmarking Bonus-Based Exploration Methods on the Arcade Learning Environment
6 August 2019
Adrien Ali Taïga
W. Fedus
Marlos C. Machado
Aaron Courville
Marc G. Bellemare
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Papers citing
"Benchmarking Bonus-Based Exploration Methods on the Arcade Learning Environment"
28 / 28 papers shown
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Random Latent Exploration for Deep Reinforcement Learning
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Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias
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Sergey Levine
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Towards practical reinforcement learning for tokamak magnetic control
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Andrea Michi
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Jonathan Evens
Paula Kurylowicz
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Martin Riedmiller
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Deep Reinforcement Learning with Plasticity Injection
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24 May 2023
MIMEx: Intrinsic Rewards from Masked Input Modeling
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Allan Jabri
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15 May 2023
Empirical Design in Reinforcement Learning
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Samuel Neumann
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03 Apr 2023
Conditionally Optimistic Exploration for Cooperative Deep Multi-Agent Reinforcement Learning
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Yangchen Pan
Chenjun Xiao
Sarath Chandar
Janarthanan Rajendran
332
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16 Mar 2023
Redeeming Intrinsic Rewards via Constrained Optimization
Neural Information Processing Systems (NeurIPS), 2022
Eric Chen
Zhang-Wei Hong
Joni Pajarinen
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14 Nov 2022
Collaborative Training of Heterogeneous Reinforcement Learning Agents in Environments with Sparse Rewards: What and When to Share?
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Esther Villar-Rodriguez
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330
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Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation
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Doyeong Hwang
Seul Lee
Seongok Ryu
Sung Ju Hwang
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04 Oct 2021
Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration
Adaptive Agents and Multi-Agent Systems (AAMAS), 2021
Lukas Schafer
Filippos Christianos
Josiah P. Hanna
Stefano V. Albrecht
255
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19 Jul 2021
Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL
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Jack Parker-Holder
Vu Nguyen
Shaan Desai
Stephen J. Roberts
235
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0
30 Jun 2021
Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2021
Tengyang Xie
Nan Jiang
Huan Wang
Caiming Xiong
Yu Bai
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392
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09 Jun 2021
Learning on a Budget via Teacher Imitation
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Jeremy Gow
Diego Perez-Liebana
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229
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17 Apr 2021
State Entropy Maximization with Random Encoders for Efficient Exploration
International Conference on Machine Learning (ICML), 2021
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Lili Chen
Jinwoo Shin
Honglak Lee
Pieter Abbeel
Kimin Lee
349
155
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18 Feb 2021
Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards
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Susan Amin
Maziar Gomrokchi
Hossein Aboutalebi
Harsh Satija
Doina Precup
239
17
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26 Dec 2020
Self-Imitation Advantage Learning
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Johan Ferret
Olivier Pietquin
Matthieu Geist
291
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22 Dec 2020
Student-Initiated Action Advising via Advice Novelty
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Jeremy Gow
Diego Perez
151
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01 Oct 2020
See, Hear, Explore: Curiosity via Audio-Visual Association
Neural Information Processing Systems (NeurIPS), 2020
Victoria Dean
Shubham Tulsiani
Abhinav Gupta
329
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Meta-learning curiosity algorithms
International Conference on Learning Representations (ICLR), 2020
Ferran Alet
Martin Schneider
Tomas Lozano-Perez
L. Kaelbling
284
67
0
11 Mar 2020
Exploring Unknown States with Action Balance
Yan Song
Yingfeng Chen
Yujing Hu
Changjie Fan
205
6
0
10 Mar 2020
On Catastrophic Interference in Atari 2600 Games
W. Fedus
Dibya Ghosh
John D. Martin
Marc G. Bellemare
Yoshua Bengio
Hugo Larochelle
201
28
0
28 Feb 2020
Making Efficient Use of Demonstrations to Solve Hard Exploration Problems
International Conference on Learning Representations (ICLR), 2019
T. Paine
Çağlar Gülçehre
Bobak Shahriari
Misha Denil
Matt Hoffman
...
Duncan Williams
Gabriel Barth-Maron
Ziyun Wang
Nando de Freitas
Worlds Team
198
96
0
03 Sep 2019
A survey on intrinsic motivation in reinforcement learning
A. Aubret
L. Matignon
S. Hassas
AI4CE
593
163
0
19 Aug 2019
Efficient Exploration via State Marginal Matching
Lisa Lee
Benjamin Eysenbach
Emilio Parisotto
Eric Xing
Sergey Levine
Ruslan Salakhutdinov
548
282
0
12 Jun 2019
Count-Based Exploration with the Successor Representation
Marlos C. Machado
Marc G. Bellemare
Michael Bowling
323
205
0
31 Jul 2018
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