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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Title
Reinforcement Learning in Practice: Opportunities and Challenges Yuxi Li OffRL 38 9 0 23 Feb 2022
Learning Causal Overhypotheses through Exploration in Children and Computational Models Eliza Kosoy Adrian Liu Jasmine Collins David M. Chan Jessica B. Hamrick Nan Rosemary Ke Sandy H Huang Bryanna Kaufmann John F. Canny Alison Gopnik CML 22 9 0 21 Feb 2022
Interpretable pipelines with evolutionarily optimized modules for RL tasks with visual inputs Leonardo Lucio Custode Giovanni Iacca 27 13 0 10 Feb 2022
Wasserstein Distance Maximizing Intrinsic Control Ishan Durugkar Steven Hansen Stephen Spencer Volodymyr Mnih 26 6 0 28 Oct 2021
The Difficulty of Passive Learning in Deep Reinforcement Learning Georg Ostrovski Pablo Samuel Castro Will Dabney OffRL 19 57 0 26 Oct 2021
Self-Consistent Models and Values Roy Miles Kate Baumli Zita Marinho Angelos Filos Matteo Hessel Hado van Hasselt David Silver 38 8 0 25 Oct 2021
CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents Sam Powers Eliot Xing Eric Kolve Roozbeh Mottaghi Abhinav Gupta OffRL 36 38 0 19 Oct 2021
GrowSpace: Learning How to Shape Plants Yasmeen Hitti Ionelia Buzatu Manuel Del Verme M. Lefsrud Florian Golemo A. Durand 19 2 0 15 Oct 2021
Explaining Deep Reinforcement Learning Agents In The Atari Domain through a Surrogate Model Alexander Sieusahai Matthew J. Guzdial 35 13 0 07 Oct 2021
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
Large Batch Experience Replay Thibault Lahire M. Geist Emmanuel Rachelson OffRL 56 13 0 04 Oct 2021
On Bonus-Based Exploration Methods in the Arcade Learning Environment Adrien Ali Taïga W. Fedus Marlos C. Machado Aaron Courville Marc G. Bellemare 21 58 0 22 Sep 2021
Benchmarking the Spectrum of Agent Capabilities Danijar Hafner ELM 33 128 0 14 Sep 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain Jianye Hao Tianpei Yang Hongyao Tang Chenjia Bai Jinyi Liu Zhaopeng Meng Peng Liu Zhen Wang OffRL 38 93 0 14 Sep 2021
Bootstrapped Meta-Learning Sebastian Flennerhag Yannick Schroecker Tom Zahavy Hado van Hasselt David Silver Satinder Singh 38 59 0 09 Sep 2021
An Oracle and Observations for the OpenAI Gym / ALE Freeway Environment J. Plank Catherine D. Schuman Robert M. Patton 26 0 0 02 Sep 2021
Deep Reinforcement Learning at the Edge of the Statistical Precipice Rishabh Agarwal Max Schwarzer Pablo Samuel Castro Aaron Courville Marc G. Bellemare OffRL 61 639 0 30 Aug 2021
When should agents explore? Miruna Pislar David Szepesvari Georg Ostrovski Diana Borsa Tom Schaul 40 22 0 26 Aug 2021
A Pragmatic Look at Deep Imitation Learning Kai Arulkumaran D. Lillrank 29 9 0 04 Aug 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
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot Joel Z. Leibo Edgar A. Duénez-Guzmán A. Vezhnevets J. Agapiou P. Sunehag Raphael Köster Jayd Matyas Charlie Beattie Igor Mordatch T. Graepel OffRL 58 104 0 14 Jul 2021
Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks Ruohan Zhang F. Torabi Garrett A. Warnell Peter Stone 83 28 0 13 Jul 2021
CoBERL: Contrastive BERT for Reinforcement Learning Andrea Banino Adria Puidomenech Badia Jacob Walker Tim Scholtes Jovana Mitrović Charles Blundell OffRL 32 36 0 12 Jul 2021
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction Assaf Hallak Gal Dalal Steven Dalton I. Frosio Shie Mannor Gal Chechik OffRL OnRL 35 9 0 04 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
Convergent and Efficient Deep Q Network Algorithm Zhikang T. Wang Masahito Ueda 27 12 0 29 Jun 2021
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies Linxi Fan Guanzhi Wang De-An Huang Zhiding Yu Li Fei-Fei Yuke Zhu Anima Anandkumar OffRL 30 63 0 17 Jun 2021
Going Beyond Linear Transformers with Recurrent Fast Weight Programmers Kazuki Irie Imanol Schlag Róbert Csordás Jürgen Schmidhuber 33 57 0 11 Jun 2021
Investigating Alternatives to the Root Mean Square for Adaptive Gradient Methods Brett Daley Chris Amato ODL 40 0 0 10 Jun 2021
MICo: Improved representations via sampling-based state similarity for Markov decision processes Pablo Samuel Castro Tyler Kastner Prakash Panangaden Mark Rowland 48 35 0 03 Jun 2021
Spectral Normalisation for Deep Reinforcement Learning: an Optimisation Perspective Florin Gogianu Tudor Berariu Mihaela Rosca Claudia Clopath L. Buşoniu Razvan Pascanu 24 53 0 11 May 2021
Online and Offline Reinforcement Learning by Planning with a Learned Model Julian Schrittwieser Thomas Hubert Amol Mandhane M. Barekatain Ioannis Antonoglou David Silver OffRL 31 114 0 13 Apr 2021
Regularized Softmax Deep Multi-Agent $Q$ -Learning L. Pan Tabish Rashid Bei Peng Longbo Huang Shimon Whiteson 42 31 0 22 Mar 2021
Enhanced Pub/Sub Communications for Massive IoT Traffic with SARSA Reinforcement Learning Carlos R. E. Arruda Pedro F. Moraes N. Agoulmine Joberto S. B. Martins 15 7 0 03 Jan 2021
Revisiting Rainbow: Promoting more Insightful and Inclusive Deep Reinforcement Learning Research J. Obando-Ceron Pablo Samuel Castro OffRL 20 105 0 20 Nov 2020
DeepAveragers: Offline Reinforcement Learning by Solving Derived Non-Parametric MDPs Aayam Shrestha Stefan Lee Prasad Tadepalli Alan Fern OffRL 55 23 0 18 Oct 2020
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 48 819 0 05 Oct 2020
Revisiting Fundamentals of Experience Replay W. Fedus Prajit Ramachandran Rishabh Agarwal Yoshua Bengio Hugo Larochelle Mark Rowland Will Dabney KELM OffRL 30 234 0 13 Jul 2020
Data-Efficient Reinforcement Learning with Self-Predictive Representations Max Schwarzer Ankesh Anand Rishab Goel R. Devon Hjelm Aaron Courville Philip Bachman 41 310 0 12 Jul 2020
Learning Abstract Models for Strategic Exploration and Fast Reward Transfer E. Liu Ramtin Keramati Sudarshan Seshadri Kelvin Guu Panupong Pasupat Emma Brunskill Percy Liang OffRL 27 5 0 12 Jul 2020
Selective Dyna-style Planning Under Limited Model Capacity Zaheer Abbas Samuel Sokota Erin J. Talvitie Martha White 25 32 0 05 Jul 2020
Automatic Data Augmentation for Generalization in Deep Reinforcement Learning Roberta Raileanu M. Goldstein Denis Yarats Ilya Kostrikov Rob Fergus OffRL 22 109 0 23 Jun 2020
Learning with AMIGo: Adversarially Motivated Intrinsic Goals Andres Campero Roberta Raileanu Heinrich Küttler J. Tenenbaum Tim Rocktaschel Edward Grefenstette 38 125 0 22 Jun 2020
Re-understanding Finite-State Representations of Recurrent Policy Networks Mohamad H. Danesh Anurag Koul Alan Fern Saeed Khorram 31 21 0 06 Jun 2020
Temporally-Extended ε-Greedy Exploration Will Dabney Georg Ostrovski André Barreto 22 33 0 02 Jun 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 65 225 0 01 Jun 2020
Probabilistic Guarantees for Safe Deep Reinforcement Learning E. Bacci David Parker 19 27 0 14 May 2020
First return, then explore Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune 47 351 0 27 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 93 1,935 0 11 Apr 2020
Rolling Horizon Evolutionary Algorithms for General Video Game Playing Raluca D. Gaina Sam Devlin Simon Lucas Diego Perez-Liebana 21 21 0 27 Mar 2020