Title
On Multi-Agent Learning in Team Sports Games Yunqi Zhao Igor Borovikov J. Rupert C. Somers Ahmad Beirami 100 14 0 25 Jun 2019
Modern Deep Reinforcement Learning Algorithms Sergey Ivanov A. Dýakonov OffRL 132 42 0 24 Jun 2019
Inductive general game playingMachine-mediated learning (ML), 2019 Andrew Cropper Richard Evans Mark Law AI4CE 211 33 0 23 Jun 2019
Defending Against Adversarial Examples with K-Nearest Neighbor Chawin Sitawarin David Wagner AAML 174 29 0 23 Jun 2019
Evolutionary Reinforcement Learning for Sample-Efficient Multiagent CoordinationInternational Conference on Machine Learning (ICML), 2019 Shauharda Khadka Somdeb Majumdar Santiago Miret Stephen McAleer Kagan Tumer 230 66 0 18 Jun 2019
Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning Georgios Papoudakis Filippos Christianos Arrasy Rahman Stefano V. Albrecht 179 213 0 11 Jun 2019
Planning With Uncertain Specifications (PUnS)IEEE Robotics and Automation Letters (RA-L), 2019 Ankit J. Shah Shen Li J. Shah 177 25 0 07 Jun 2019
On the Generalization Gap in Reparameterizable Reinforcement LearningInternational Conference on Machine Learning (ICML), 2019 Huan Wang Stephan Zheng Caiming Xiong R. Socher 193 40 0 29 May 2019
CopyCAT: Taking Control of Neural Policies with Constant AttacksAdaptive Agents and Multi-Agent Systems (AAMAS), 2019 Léonard Hussenot Matthieu Geist Olivier Pietquin AAML 134 34 0 29 May 2019
LeTS-Drive: Driving in a Crowd by Learning from Tree Search Panpan Cai Yuanfu Luo Aseem Saxena David Hsu Wee Sun Lee 118 31 0 29 May 2019
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence Jeff Clune 357 131 0 27 May 2019
Adversarial Policies: Attacking Deep Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2019 Adam Gleave Michael Dennis Cody Wild Neel Kant Sergey Levine Stuart J. Russell AAML 298 396 0 25 May 2019
Ignorance-Aware Approaches and Algorithms for Prototype Selection in Machine Learning V. Terziyan A. Nikulin 38 4 0 15 May 2019
Benchmark and Survey of Automated Machine Learning Frameworks Marc-André Zöller Marco F. Huber 260 89 0 26 Apr 2019
Neural Path Planning: Fixed Time, Near-Optimal Path Generation via Oracle Imitation M. J. Bency A. H. Qureshi Michael C. Yip 168 95 0 25 Apr 2019
On Learning to Prove Daniel Huang 212 3 0 24 Apr 2019
Low-Memory Neural Network Training: A Technical Report N. Sohoni Christopher R. Aberger Megan Leszczynski Jian Zhang Christopher Ré 229 110 0 24 Apr 2019
Deep learning investigation for chess player attention prediction using eye-tracking and game data Justin Le Louëdec Thomas Guntz James L. Crowley Dominique Vaufreydaz 99 18 0 17 Apr 2019
Deep Policies for Width-Based Planning in Pixel Domains Miquel Junyent Anders Jonsson Vicencc Gómez 195 10 0 12 Apr 2019
Only Relevant Information Matters: Filtering Out Noisy Samples to Boost RL Yannis Flet-Berliac Philippe Preux 302 2 0 08 Apr 2019
Creating Pro-Level AI for a Real-Time Fighting Game Using Deep Reinforcement Learning In-Suk Oh Seungeun Rho Sangbin Moon Seongho Son Hyoil Lee Jinyun Chung 214 62 0 08 Apr 2019
Policy Gradient Search: Online Planning and Expert Iteration without Search Trees Thomas W. Anthony Robert Nishihara Philipp Moritz Tim Salimans John Schulman 191 30 0 07 Apr 2019
Synthesized Policies for Transfer and Adaptation across Tasks and Environments Hexiang Hu Liyu Chen Boqing Gong Fei Sha 144 9 0 05 Apr 2019
Reducing catastrophic forgetting when evolving neural networks Joseph Early 55 2 0 05 Apr 2019
A Local Approach to Forward Model Learning: Results on the Game of Life Game Simon Lucas Alexander Dockhorn Vanessa Volz Chris Bamford Raluca D. Gaina Ivan Bravi Diego Perez-Liebana Sanaz Mostaghim R. Kruse 156 18 0 29 Mar 2019
Improved Reinforcement Learning with Curriculum Joseph West Frederic Maire C. Browne Akila Pemasiri LRM 67 6 0 29 Mar 2019
Winning Isn't Everything: Enhancing Game Development with Intelligent Agents Yunqi Zhao Igor Borovikov Fernando de Mesentier Silva Ahmad Beirami J. Rupert ... Mohsen Sardari Long Lin S. Narravula Navid Aghdaie Kazi A. Zaman 223 47 0 25 Mar 2019
Single-step Options for Adversary Driving Nazmus Sakib Hengshuai Yao Kuanqi Cai Shangling Jui 138 2 0 20 Mar 2019
On the Robustness of Deep K-Nearest Neighbors Chawin Sitawarin David Wagner AAML OOD 176 62 0 20 Mar 2019
Hyper-Parameter Sweep on AlphaZero General Hui Wang M. Emmerich Mike Preuss Aske Plaat 112 16 0 19 Mar 2019
Truly Proximal Policy OptimizationConference on Uncertainty in Artificial Intelligence (UAI), 2019 Yuhui Wang Hao He Chao Wen Xiaoyang Tan 188 164 0 19 Mar 2019
Learning Self-Game-Play Agents for Combinatorial Optimization Problems Ruiyang Xu K. Lieberherr AI4CE 79 12 0 08 Mar 2019
A cooperative game for automated learning of elasto-plasticity knowledge graphs and models with AI-guided experimentation Kun Wang WaiChing Sun Q. Du AI4CE 108 60 0 08 Mar 2019
Convergence of Multi-Agent Learning with a Finite Step Size in General-Sum Games Xinliang Song Tonghan Wang Chongjie Zhang 103 13 0 07 Mar 2019
Towards Understanding Chinese Checkers with Heuristics, Monte Carlo Tree Search, and Deep Reinforcement Learning Ziyu Liu Meng Zhou Weiqing Cao Qiang Qu H. W. F. Yeung Yuk Ying Chung 114 4 0 05 Mar 2019
A Strongly Asymptotically Optimal Agent in General EnvironmentsInternational Joint Conference on Artificial Intelligence (IJCAI), 2019 Michael K. Cohen Elliot Catt Marcus Hutter 198 13 0 04 Mar 2019
Catalyst.RL: A Distributed Framework for Reproducible RL Research Sergey Kolesnikov Oleksii Hrinchuk OffRL 90 8 0 28 Feb 2019
Coloring Big Graphs with AlphaGoZero Jiayi Huang Md. Mostofa Ali Patwary G. Diamos AI4CE GNN 166 54 0 26 Feb 2019
Planning in Hierarchical Reinforcement Learning: Guarantees for Using Local PoliciesInternational Conference on Algorithmic Learning Theory (ALT), 2019 Tom Zahavy Avinatan Hassidim Haim Kaplan Yishay Mansour OffRL 147 7 0 26 Feb 2019
Challenges for an Ontology of Artificial Intelligence Scott H. Hawley 81 11 0 25 Feb 2019
Robust Reinforcement Learning in POMDPs with Incomplete and Noisy Observations Yuhui Wang Hao He Xiaoyang Tan 115 15 0 15 Feb 2019
Non-Asymptotic Analysis of Monte Carlo Tree Search Devavrat Shah Qiaomin Xie Zhi Xu 268 9 0 14 Feb 2019
Neural-Network Guided Expression Transformation Romain Edelmann Viktor Kunčak 75 1 0 06 Feb 2019
Neural Fictitious Self-Play on ELF Mini-RTS Keigo Kawamura Yoshimasa Tsuruoka 122 7 0 06 Feb 2019
Competitive Experience ReplayInternational Conference on Learning Representations (ICLR), 2019 Hao Liu Alexander R. Trott R. Socher Caiming Xiong OffRL 298 57 0 01 Feb 2019
The Hanabi Challenge: A New Frontier for AI ResearchArtificial Intelligence (AI), 2019 Nolan Bard Jakob N. Foerster A. Chandar Neil Burch Marc Lanctot ... Iain Dunning Shibl Mourad Hugo Larochelle Marc G. Bellemare Michael Bowling LLMAG 434 389 0 01 Feb 2019
Learning Position Evaluation Functions Used in Monte Carlo Softmax Search H. Igarashi Yuichi Morioka Kazumasa Yamamoto 32 0 0 30 Jan 2019
Trust Region-Guided Proximal Policy OptimizationNeural Information Processing Systems (NeurIPS), 2019 Yuhui Wang Hao He Xiaoyang Tan Yaozhong Gan OffRL 291 65 0 29 Jan 2019
Making Deep Q-learning methods robust to time discretization Corentin Tallec Léonard Blier Yann Ollivier OOD OffRL 169 98 0 28 Jan 2019
Ablation Studies in Artificial Neural Networks Richard Meyes Melanie Lu Constantin Waubert de Puiseau Tobias Meisen 182 261 0 24 Jan 2019