Title
Model-Based Reinforcement Learning for Offline Zero-Sum Markov Games Yuling Yan Gen Li Yuxin Chen Jianqing Fan OffRL 102 12 0 08 Jun 2022
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Double Deep Q Networks for Sensor Management in Space Situational Awareness Ben D. Oakes Dominic Richards Jordi Barr Jason Ralph 31 8 0 27 May 2022
Exploring the Benefits of Teams in Multiagent Learning David Radke Kate Larson Timothy B. Brecht AI4TS 83 10 0 04 May 2022
The Importance of Credo in Multiagent Learning David Radke Kate Larson Timothy B. Brecht 97 12 0 15 Apr 2022
Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization Zihan Zhou Wei Fu Bingliang Zhang Yi Wu 85 30 0 04 Apr 2022
Mind the gap: Challenges of deep learning approaches to Theory of Mind Jaan Aru Aqeel Labash Oriol Corcoll Raul Vicente 95 27 0 30 Mar 2022
Self-Imitation Learning from Demonstrations Georgiy Pshikhachev Dmitry Ivanov Vladimir Egorov A. Shpilman 56 6 0 21 Mar 2022
Safe adaptation in multiagent competition Macheng Shen Jonathan P. How TTA 65 1 0 14 Mar 2022
On Credit Assignment in Hierarchical Reinforcement Learning Joery A. de Vries Thomas M. Moerland Aske Plaat 25 0 0 07 Mar 2022
AutoDIME: Automatic Design of Interesting Multi-Agent Environments I. Kanitscheider Harrison Edwards 58 0 0 04 Mar 2022
Learning Robust Real-Time Cultural Transmission without Human Data Cultural General Intelligence Team Avishkar Bhoopchand Bethanie Brownfield Adrian Collister Agustin Dal Lago ... Alex Platonov Evan Senter Sukhdeep Singh Alexander Zacherl Lei M. Zhang VLM 125 11 0 01 Mar 2022
Reinforcement Learning in Practice: Opportunities and Challenges Yuxi Li OffRL 71 9 0 23 Feb 2022
Behaviour-Diverse Automatic Penetration Testing: A Curiosity-Driven Multi-Objective Deep Reinforcement Learning Approach Yizhou Yang Xin Liu AAML 65 15 0 22 Feb 2022
Investigations of Performance and Bias in Human-AI Teamwork in Hiring Andi Peng Besmira Nushi Emre Kıcıman K. Inkpen Ece Kamar 51 32 0 21 Feb 2022
Learning Synthetic Environments and Reward Networks for Reinforcement Learning Fabio Ferreira Thomas Nierhoff Andreas Saelinger Frank Hutter 43 4 0 06 Feb 2022
Meta-Reinforcement Learning with Self-Modifying Networks Mathieu Chalvidal Thomas Serre Rufin VanRullen KELM 87 5 0 04 Feb 2022
Bayesian sense of time in biological and artificial brains Zafeirios Fountas Alexey Zakharov 62 0 0 14 Jan 2022
Direct Mutation and Crossover in Genetic Algorithms Applied to Reinforcement Learning Tasks Tarek Faycal Claudio Zito 26 2 0 13 Jan 2022
Dyna-T: Dyna-Q and Upper Confidence Bounds Applied to Trees Tarek Faycal Claudio Zito OffRL 29 2 0 12 Jan 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 116 107 0 11 Jan 2022
Learning Cooperative Multi-Agent Policies with Partial Reward Decoupling B. Freed Aditya Kapoor Ian Abraham J. Schneider Howie Choset 78 5 0 23 Dec 2021
Graph augmented Deep Reinforcement Learning in the GameRLand3D environment E. Beeching Maxim Peter Philippe Marcotte Jilles Debangoye Olivier Simonin Joshua Romoff Christian Wolf 91 5 0 22 Dec 2021
Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination Rui Zhao Jinming Song Yufeng Yuan Haifeng Hu Yang Gao Yi Wu Zhongqian Sun Yang Wei 95 69 0 22 Dec 2021
The Partially Observable Asynchronous Multi-Agent Cooperation Challenge Meng Yao Qiyue Yin Jun Yang Tongtong Yu S. Shen Junge Zhang Bin Liang Kaiqi Huang 43 5 0 07 Dec 2021
The Power of Communication in a Distributed Multi-Agent System P. D. Siedler 53 3 0 30 Nov 2021
Collective Intelligence for Deep Learning: A Survey of Recent Developments David R Ha Yu Tang AI4CE 127 70 0 29 Nov 2021
AI in Human-computer Gaming: Techniques, Challenges and Opportunities Qiyue Yin Jun Yang Kaiqi Huang Meijing Zhao Wancheng Ni Bin Liang Yan Huang Shu Wu Liangsheng Wang 61 21 0 15 Nov 2021
Towards convergence to Nash equilibria in two-team zero-sum games Fivos Kalogiannis Ioannis Panageas Emmanouil-Vasileios Vlatakis-Gkaragkounis 80 5 0 07 Nov 2021
Development of collective behavior in newborn artificial agents Donsuk Lee Samantha M. W. Wood Justin N. Wood 49 2 0 06 Nov 2021
Learning to Cooperate with Unseen Agent via Meta-Reinforcement Learning Rujikorn Charakorn P. Manoonpong Nat Dilokthanakul 85 5 0 05 Nov 2021
Learning Diverse Policies in MOBA Games via Macro-Goals Yiming Gao Bei Shi Xueying Du Liang Wang Guangwei Chen ... Weixuan Wang Deheng Ye Qiang Fu Wei Yang Lanxiao Huang 76 11 0 27 Oct 2021
Collaborating with Humans without Human Data D. Strouse Kevin R. McKee M. Botvinick Edward Hughes Richard Everett 184 171 0 15 Oct 2021
Effects of Different Optimization Formulations in Evolutionary Reinforcement Learning on Diverse Behavior Generation Victor Villin Naoki Masuyama Yusuke Nojima 82 2 0 15 Oct 2021
The Neural MMO Platform for Massively Multiagent Research Joseph Suárez Yilun Du Clare Zhu Igor Mordatch Phillip Isola AI4CE 90 25 0 14 Oct 2021
Learning Temporally-Consistent Representations for Data-Efficient Reinforcement Learning Trevor A. McInroe Lukas Schafer Stefano V. Albrecht OffRL 62 8 0 11 Oct 2021
Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity M. Garnelo Wojciech M. Czarnecki Siqi Liu Dhruva Tirumala Junhyuk Oh Gauthier Gidel H. V. Hasselt David Balduzzi 114 25 0 08 Oct 2021
Genealogical Population-Based Training for Hyperparameter Optimization Antoine Scardigli P. Fournier Matteo Vilucchio D. Naccache GP 31 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 135 60 0 28 Sep 2021
Faster Improvement Rate Population Based Training Valentin Dalibard Max Jaderberg 67 13 0 28 Sep 2021
Multi-Agent Embodied Visual Semantic Navigation with Scene Prior Knowledge Xinzhu Liu Di Guo Huaping Liu F. Sun EgoV 77 25 0 20 Sep 2021
ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation Chuangchuang Sun Dong-Ki Kim Jonathan P. How AAML 92 19 0 14 Sep 2021
Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms Ruizhi Chen Xiaoyu Wu Yansong Pan Kaizhao Yuan Ling Li ... Shaohui Peng Xishan Zhang Zidong Du Qi Guo Yunji Chen OffRL 61 3 0 04 Sep 2021
Optimal Actor-Critic Policy with Optimized Training Datasets C. Banerjee Zhiyong Chen N. Noman M. Zamani OffRL 66 7 0 16 Aug 2021
Bridging the gap between emotion and joint action M. Bieńkiewicz Andrii Smykovskyi Temitayo A. Olugbade Stefan Janaqi A. Camurri N. Bianchi-Berthouze Mårten Björkman B. Bardy 50 22 0 13 Aug 2021
Open-Ended Learning Leads to Generally Capable Agents Open-Ended Learning Team Adam Stooke Anuj Mahajan Catarina Barros Charlie Deck ... Nicolas Porcel Roberta Raileanu Steph Hughes-Fitt Valentin Dalibard Wojciech M. Czarnecki 130 190 0 27 Jul 2021
Megaverse: Simulating Embodied Agents at One Million Experiences per Second Aleksei Petrenko Erik Wijmans Brennan Shacklett V. Koltun LM&Ro VGen 88 24 0 17 Jul 2021
Level generation and style enhancement -- deep learning for game development overview P. Migdal Bartlomiej Olechno Bla.zej Podgórski GAN VLM 39 4 0 15 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 93 111 0 14 Jul 2021
Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks Ruohan Zhang F. Torabi Garrett A. Warnell Peter Stone 158 29 0 13 Jul 2021