Title
On the Use and Misuse of Absorbing States in Multi-agent Reinforcement Learning Andrew Cohen Ervin Teng Vincent-Pierre Berges Ruo-Ping Dong Hunter Henry Marwan Mattar Alexander Zook Sujoy Ganguly 24 33 0 10 Nov 2021
Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning Wenlong Huang Igor Mordatch Pieter Abbeel Deepak Pathak 45 63 0 04 Nov 2021
A System for General In-Hand Object Re-Orientation Tao Chen Jie Xu Pulkit Agrawal 45 251 0 04 Nov 2021
Towards an Understanding of Default Policies in Multitask Policy Optimization Theodore H. Moskovitz Michael Arbel Jack Parker-Holder Aldo Pacchiano 30 9 0 04 Nov 2021
Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch Shangtong Zhang Rémi Tachet des Combes Romain Laroche 35 10 0 04 Nov 2021
Human-Level Control without Server-Grade Hardware Brett Daley Chris Amato BDL OffRL 13 0 0 01 Nov 2021
Generalized Proximal Policy Optimization with Sample Reuse James Queeney I. Paschalidis Christos G. Cassandras OffRL 42 47 0 29 Oct 2021
Wasserstein Distance Maximizing Intrinsic Control Ishan Durugkar Steven Hansen Stephen Spencer Volodymyr Mnih 26 6 0 28 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
A Distributed Deep Reinforcement Learning Technique for Application Placement in Edge and Fog Computing Environments M. Goudarzi M. Palaniswami Rajkumar Buyya OffRL 40 85 0 24 Oct 2021
Fully Distributed Actor-Critic Architecture for Multitask Deep Reinforcement Learning John Harwell Angel Sylvester Aleksi Tukiainen Enrique Munoz de Cote 31 4 0 23 Oct 2021
A Versatile and Efficient Reinforcement Learning Framework for Autonomous Driving Guan-Bo Wang Haoyi Niu Desheng Zhu Jianming Hu Xianyuan Zhan Guyue Zhou OffRL 27 2 0 22 Oct 2021
Statistical discrimination in learning agents Edgar A. Duénez-Guzmán Kevin R. McKee Yiran Mao Ben Coppin Silvia Chiappa ... Yoram Bachrach Suzanne Sadedin William S. Isaac K. Tuyls Joel Z. Leibo 47 7 0 21 Oct 2021
On games and simulators as a platform for development of artificial intelligence for command and control Vinicius G. Goecks Nicholas R. Waytowich Derrik E. Asher Song Jun Park Mark R. Mittrick ... Anne Logie Mark S. Dennison T. Trout Priya Narayanan Alexander Kott 41 26 0 21 Oct 2021
SILG: The Multi-environment Symbolic Interactive Language Grounding Benchmark Victor Zhong Austin W. Hanjie Sida Wang Karthik Narasimhan Luke Zettlemoyer 19 12 0 20 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
Variance Reduction based Experience Replay for Policy Optimization Hua Zheng Wei Xie M. Feng OffRL 41 2 0 17 Oct 2021
Collaborating with Humans without Human Data D. Strouse Kevin R. McKee M. Botvinick Edward Hughes Richard Everett 124 161 0 15 Oct 2021
Containerized Distributed Value-Based Multi-Agent Reinforcement Learning Siyang Wu Tonghan Wang Chenghao Li Yang Hu Chongjie Zhang OffRL 29 1 0 15 Oct 2021
Safe Driving via Expert Guided Policy Optimization Zhenghao Peng Quanyi Li Chunxiao Liu Bolei Zhou OffRL 31 41 0 13 Oct 2021
Feudal Reinforcement Learning by Reading Manuals Kai Wang Zhonghao Wang Mo Yu Humphrey Shi OffRL 48 0 0 13 Oct 2021
Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees Siliang Zeng Tianyi Chen Alfredo García Mingyi Hong 52 11 0 11 Oct 2021
Learning a subspace of policies for online adaptation in Reinforcement Learning Jean-Baptiste Gaya Laure Soulier Ludovic Denoyer OffRL 40 15 0 11 Oct 2021
Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs Tianwei Ni Benjamin Eysenbach Ruslan Salakhutdinov 26 103 0 11 Oct 2021
Medical Dead-ends and Learning to Identify High-risk States and Treatments Mehdi Fatemi Taylor W. Killian J. Subramanian Marzyeh Ghassemi OffRL 36 37 0 08 Oct 2021
No-Press Diplomacy from Scratch A. Bakhtin David J. Wu Adam Lerer Noam Brown 100 42 0 06 Oct 2021
Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing Logan T. Ward Ganesh Sivaraman J. G. Pauloski Y. Babuji Ryan Chard ... R. Assary Kyle Chard L. Curtiss R. Thakur Ian Foster 27 39 0 06 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
Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley Values Alexandre Heuillet Fabien Couthouis Natalia Díaz Rodríguez 27 57 0 04 Oct 2021
Parallel Actors and Learners: A Framework for Generating Scalable RL Implementations Chi Zhang S. Kuppannagari Viktor Prasanna OffRL 21 7 0 03 Oct 2021
An Unsupervised Video Game Playstyle Metric via State Discretization Chiu-Chou Lin W. Chiu I-Chen Wu 16 3 0 03 Oct 2021
Batch size-invariance for policy optimization Jacob Hilton K. Cobbe John Schulman 27 11 0 01 Oct 2021
Divergence-Regularized Multi-Agent Actor-Critic Kefan Su Zongqing Lu 46 25 0 01 Oct 2021
Genealogical Population-Based Training for Hyperparameter Optimization Antoine Scardigli P. Fournier Matteo Vilucchio D. Naccache GP 22 0 0 30 Sep 2021
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey Amjad Yousef Majid Serge Saaybi Tomas van Rietbergen Vincent François-Lavet R. V. Prasad Chris Verhoeven OffRL 67 55 0 28 Sep 2021
Faster Improvement Rate Population Based Training Valentin Dalibard Max Jaderberg 25 10 0 28 Sep 2021
Learning to Superoptimize Real-world Programs Alex Shypula Pengcheng Yin Jeremy Lacomis Claire Le Goues Edward N. Schwartz Graham Neubig NAI 121 10 0 28 Sep 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
Applying supervised and reinforcement learning methods to create neural-network-based agents for playing StarCraft II Michal Opanowicz 23 0 0 26 Sep 2021
Parameter-free Reduction of the Estimation Bias in Deep Reinforcement Learning for Deterministic Policy Gradients Baturay Saglam Furkan B. Mutlu Dogan C. Cicek Suleyman Serdar Kozat OffRL 22 3 0 24 Sep 2021
Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples with On-Policy Experience C. Banerjee Zhiyong Chen N. Noman 21 30 0 24 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 24 58 0 22 Sep 2021
Estimation Error Correction in Deep Reinforcement Learning for Deterministic Actor-Critic Methods Baturay Saglam Enes Duran Dogan C. Cicek Furkan B. Mutlu Suleyman Serdar Kozat OffRL 50 12 0 22 Sep 2021
Autonomous Blimp Control using Deep Reinforcement Learning Y. Liu Eric Price Pascal Goldschmid Michael J. Black Aamir Ahmad AI4CE 32 3 0 22 Sep 2021
Learning Natural Language Generation from Scratch Alice Martin Donati Guillaume Quispe Charles Ollion Sylvain Le Corff Florian Strub Olivier Pietquin LRM 36 4 0 20 Sep 2021
CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research Chris Cummins Bram Wasti Jiadong Guo Brandon Cui Jason Ansel ... Jia-Wei Liu O. Teytaud Benoit Steiner Yuandong Tian Hugh Leather 35 69 0 17 Sep 2021
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning Tianhe Yu Aviral Kumar Yevgen Chebotar Karol Hausman Sergey Levine Chelsea Finn OffRL 37 77 0 16 Sep 2021
Direct Advantage Estimation Hsiao-Ru Pan Nico Gürtler Alexander Neitz Bernhard Schölkopf OffRL CML 14 11 0 13 Sep 2021
An Empirical Comparison of Off-policy Prediction Learning Algorithms in the Four Rooms Environment Sina Ghiassian R. Sutton AAML OffRL 21 6 0 10 Sep 2021
Bootstrapped Meta-Learning Sebastian Flennerhag Yannick Schroecker Tom Zahavy Hado van Hasselt David Silver Satinder Singh 43 59 0 09 Sep 2021