Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents

18 September 2017

Matthew J. Hausknecht

Michael Bowling

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Papers citing "Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents"

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From Chess and Atari to StarCraft and Beyond: How Game AI is Driving the World of AI S. Risi Mike Preuss 32 56 0 24 Feb 2020
Rotation, Translation, and Cropping for Zero-Shot Generalization Chang Ye Ahmed Khalifa Philip Bontrager Julian Togelius 32 38 0 27 Jan 2020
SLM Lab: A Comprehensive Benchmark and Modular Software Framework for Reproducible Deep Reinforcement Learning Keng Wah Loon L. Graesser Milan Cvitkovic OffRL 24 13 0 28 Dec 2019
A Survey of Deep Reinforcement Learning in Video Games Kun Shao Zhentao Tang Yuanheng Zhu Nannan Li Dongbin Zhao OffRL AI4TS 43 188 0 23 Dec 2019
Leveraging Procedural Generation to Benchmark Reinforcement Learning K. Cobbe Christopher Hesse Jacob Hilton John Schulman 45 541 0 03 Dec 2019
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning Tianhe Yu Deirdre Quillen Zhanpeng He Ryan Julian Avnish Narayan Hayden Shively Adithya Bellathur Karol Hausman Chelsea Finn Sergey Levine OffRL 98 1,128 0 24 Oct 2019
Benchmarking Batch Deep Reinforcement Learning Algorithms Shih-Han Chou Wen-Yen Chang W. Hsu Jianlong Fu OffRL 18 181 0 03 Oct 2019
Interactive Fiction Games: A Colossal Adventure Matthew J. Hausknecht Prithviraj Ammanabrolu Marc-Alexandre Côté Xingdi Yuan LLMAG LM&Ro AI4CE 18 192 0 11 Sep 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 30 248 0 26 Aug 2019
Is Deep Reinforcement Learning Really Superhuman on Atari? Leveling the playing field Marin Toromanoff É. Wirbel Fabien Moutarde OffRL 24 25 0 13 Aug 2019
Behaviour Suite for Reinforcement Learning Ian Osband Yotam Doron Matteo Hessel John Aslanides Eren Sezener ... Satinder Singh Benjamin Van Roy R. Sutton David Silver H. V. Hasselt OffRL 32 178 0 09 Aug 2019
Google Research Football: A Novel Reinforcement Learning Environment Karol Kurach Anton Raichuk Piotr Stańczyk Michal Zajac Olivier Bachem ... C. Riquelme Damien Vincent Marcin Michalski Olivier Bousquet Sylvain Gelly 39 398 0 25 Jul 2019
Accelerating Reinforcement Learning through GPU Atari Emulation Steven Dalton I. Frosio M. Garland ELM 24 9 0 19 Jul 2019
On Inductive Biases in Deep Reinforcement Learning Matteo Hessel H. V. Hasselt Joseph Modayil David Silver AI4CE 27 41 0 05 Jul 2019
Attentive Multi-Task Deep Reinforcement Learning Timo Bram Gino Brunner Oliver Richter Roger Wattenhofer CLL 20 18 0 05 Jul 2019
Optimistic Proximal Policy Optimization Takahisa Imagawa Takuya Hiraoka Yoshimasa Tsuruoka 15 4 0 25 Jun 2019
Self-Supervised Exploration via Disagreement Deepak Pathak Dhiraj Gandhi Abhinav Gupta SSL 35 375 0 10 Jun 2019
Combating the Compounding-Error Problem with a Multi-step Model Kavosh Asadi Dipendra Kumar Misra Seungchan Kim Michel L. Littman LRM 16 55 0 30 May 2019
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning Yilun Du Karthik Narasimhan 19 33 0 13 May 2019
P3O: Policy-on Policy-off Policy Optimization Rasool Fakoor Pratik Chaudhari Alex Smola OffRL 29 51 0 05 May 2019
Deep Policies for Width-Based Planning in Pixel Domains Miquel Junyent Anders Jonsson Vicencc Gómez 36 10 0 12 Apr 2019
Deep Reinforcement Learning with Decorrelation B. Mavrin Hengshuai Yao Linglong Kong 37 8 0 18 Mar 2019
MinAtar: An Atari-Inspired Testbed for Thorough and Reproducible Reinforcement Learning Experiments K. Young Tian Tian 14 24 0 07 Mar 2019
Learning To Follow Directions in Street View Karl Moritz Hermann Mateusz Malinowski Piotr Wojciech Mirowski Andras Banki-Horvath Keith Anderson R. Hadsell SSL 26 66 0 01 Mar 2019
Hyperbolic Discounting and Learning over Multiple Horizons W. Fedus Carles Gelada Yoshua Bengio Marc G. Bellemare Hugo Larochelle 32 105 0 19 Feb 2019
Go-Explore: a New Approach for Hard-Exploration Problems Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune AI4TS 24 362 0 30 Jan 2019
CLIC: Curriculum Learning and Imitation for object Control in non-rewarding environments Pierre Fournier Olivier Sigaud Cédric Colas Mohamed Chetouani OffRL 35 26 0 28 Jan 2019
Dopamine: A Research Framework for Deep Reinforcement Learning Pablo Samuel Castro Subhodeep Moitra Carles Gelada Saurabh Kumar Marc G. Bellemare OffRL 22 276 0 14 Dec 2018
Learning Montezuma's Revenge from a Single Demonstration Tim Salimans Richard J. Chen 42 136 0 08 Dec 2018
Quantifying Generalization in Reinforcement Learning K. Cobbe Oleg Klimov Christopher Hesse Taehoon Kim John Schulman OffRL 54 659 0 06 Dec 2018
Contingency-Aware Exploration in Reinforcement Learning Jongwook Choi Yijie Guo Marcin Moczulski Junhyuk Oh Neal Wu Mohammad Norouzi Honglak Lee 13 73 0 05 Nov 2018
Towards a Simple Approach to Multi-step Model-based Reinforcement Learning Kavosh Asadi Evan Cater Dipendra Kumar Misra Michael L. Littman OffRL 24 13 0 31 Oct 2018
Assessing Generalization in Deep Reinforcement Learning Charles Packer Katelyn Gao Jernej Kos Philipp Krahenbuhl V. Koltun D. Song OffRL 18 233 0 29 Oct 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 43 551 0 12 Oct 2018
Generalization and Regularization in DQN Jesse Farebrother Marlos C. Machado Michael Bowling 30 203 0 29 Sep 2018
Deterministic Implementations for Reproducibility in Deep Reinforcement Learning P. Nagarajan Garrett A. Warnell Peter Stone 20 51 0 15 Sep 2018
Unity: A General Platform for Intelligent Agents Arthur Juliani Vincent-Pierre Berges Esh Vckay Andrew Cohen Jonathan Harper ... Chris Goy Yuan Gao Hunter Henry Marwan Mattar Danny Lange 33 808 0 07 Sep 2018
Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models Alexander Neitz Giambattista Parascandolo Stefan Bauer Bernhard Schölkopf 20 38 0 14 Aug 2018
Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal Jake Bruce Niko Sünderhauf Piotr Wojciech Mirowski R. Hadsell Michael Milford 22 35 0 11 Jul 2018
Game AI Research with Fast Planet Wars Variants Simon Lucas 14 13 0 22 Jun 2018
A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning Amy Zhang Nicolas Ballas Joelle Pineau CLL OffRL 33 177 0 20 Jun 2018
Re-evaluating Evaluation David Balduzzi K. Tuyls Julien Perolat T. Graepel MoMe 30 97 0 07 Jun 2018
Variational Inference for Data-Efficient Model Learning in POMDPs Sebastian Tschiatschek Kai Arulkumaran Jan Stühmer Katja Hofmann 24 15 0 23 May 2018
Metatrace Actor-Critic: Online Step-size Tuning by Meta-gradient Descent for Reinforcement Learning Control K. Young Baoxiang Wang Matthew E. Taylor OffRL 8 15 0 10 May 2018
Gotta Learn Fast: A New Benchmark for Generalization in RL Alex Nichol Vicki Pfau Christopher Hesse Oleg Klimov John Schulman VLM OffRL 15 177 0 10 Apr 2018
Time Limits in Reinforcement Learning Fabio Pardo Arash Tavakoli Vitaly Levdik Petar Kormushev CLL 44 158 0 01 Dec 2017