Title
Learning Generalizable Visual Representations via Interactive Gameplay Luca Weihs Aniruddha Kembhavi Kiana Ehsani Sarah M Pratt Winson Han Alvaro Herrasti Eric Kolve Dustin Schwenk Roozbeh Mottaghi Ali Farhadi 16 9 0 17 Dec 2019
DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering Yuval Heffetz Roman Vainshtein Gilad Katz L. Rokach 17 39 0 31 Oct 2019
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control Mo Yu Shiyu Chang Yang Zhang Tommi Jaakkola 15 140 0 29 Oct 2019
Optimal Immunization Policy Using Dynamic Programming A. Alaeddini Daniel J. Klein 12 1 0 19 Oct 2019
On the Utility of Learning about Humans for Human-AI Coordination Micah Carroll Rohin Shah Mark K. Ho Thomas L. Griffiths S. Seshia Pieter Abbeel Anca Dragan HAI 11 378 0 13 Oct 2019
Discovery of Useful Questions as Auxiliary Tasks Vivek Veeriah Matteo Hessel Zhongwen Xu Richard L. Lewis Janarthanan Rajendran Junhyuk Oh H. V. Hasselt David Silver Satinder Singh LLMAG 9 86 0 10 Sep 2019
No Press Diplomacy: Modeling Multi-Agent Gameplay Philip Paquette Yuchen Lu Steven Bocco Max O. Smith Satya Ortiz-Gagné Jonathan K. Kummerfeld Satinder Singh Joelle Pineau Aaron Courville 25 57 0 04 Sep 2019
Playing a Strategy Game with Knowledge-Based Reinforcement Learning Viktor Voss L. Nechepurenko Rudi Schaefer Steffen Bauer 22 5 0 15 Aug 2019
SentiMATE: Learning to play Chess through Natural Language Processing Isaac Kamlish Isaac Bentata Chocron Nicholas McCarthy 15 10 0 18 Jul 2019
General Board Game Playing for Education and Research in Generic AI Game Learning W. Konen LLMAG 14 25 0 11 Jul 2019
On Inductive Biases in Deep Reinforcement Learning Matteo Hessel H. V. Hasselt Joseph Modayil David Silver AI4CE 25 41 0 05 Jul 2019
Growing Action Spaces Gregory Farquhar Laura Gustafson Zeming Lin Shimon Whiteson Nicolas Usunier Gabriel Synnaeve 14 37 0 28 Jun 2019
Generalization to Novel Objects using Prior Relational Knowledge V. Vijay Abhinav Ganesh Hanlin Tang Arjun K. Bansal GNN 16 6 0 26 Jun 2019
Inductive general game playing Andrew Cropper Richard Evans Mark Law AI4CE 18 27 0 23 Jun 2019
Planning With Uncertain Specifications (PUnS) Ankit J. Shah Shen Li J. Shah 8 25 0 07 Jun 2019
Adversarial Policies: Attacking Deep Reinforcement Learning Adam Gleave Michael Dennis Cody Wild Neel Kant Sergey Levine Stuart J. Russell AAML 27 348 0 25 May 2019
Ignorance-Aware Approaches and Algorithms for Prototype Selection in Machine Learning V. Terziyan A. Nikulin 14 4 0 15 May 2019
Benchmark and Survey of Automated Machine Learning Frameworks Marc Zoller Marco F. Huber 25 86 0 26 Apr 2019
Deep Policies for Width-Based Planning in Pixel Domains Miquel Junyent Anders Jonsson Vicencc Gómez 28 10 0 12 Apr 2019
Policy Gradient Search: Online Planning and Expert Iteration without Search Trees Thomas W. Anthony Robert Nishihara Philipp Moritz Tim Salimans John Schulman 12 30 0 07 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 18 17 0 29 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 23 56 0 08 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 13 4 0 05 Mar 2019
Coloring Big Graphs with AlphaGoZero Jiayi Huang Md. Mostofa Ali Patwary G. Diamos AI4CE GNN 12 49 0 26 Feb 2019
Planning in Hierarchical Reinforcement Learning: Guarantees for Using Local Policies Tom Zahavy Avinatan Hassidim Haim Kaplan Yishay Mansour OffRL 17 7 0 26 Feb 2019
Challenges for an Ontology of Artificial Intelligence Scott H. Hawley 11 11 0 25 Feb 2019
Robust Reinforcement Learning in POMDPs with Incomplete and Noisy Observations Yuhui Wang Hao He Xiaoyang Tan 23 9 0 15 Feb 2019
Non-Asymptotic Analysis of Monte Carlo Tree Search Devavrat Shah Qiaomin Xie Zhi Xu 11 9 0 14 Feb 2019
Learning Position Evaluation Functions Used in Monte Carlo Softmax Search H. Igarashi Yuichi Morioka Kazumasa Yamamoto 11 0 0 30 Jan 2019
The Oracle of DLphi Dominik Alfke W. Baines J. Blechschmidt Mauricio J. del Razo Sarmina Amnon Drory ... L. Thesing Philipp Trunschke Johannes von Lindheim David Weber Melanie Weber 32 0 0 17 Jan 2019
Malthusian Reinforcement Learning Joel Z. Leibo Julien Perolat Edward Hughes S. Wheelwright Adam H. Marblestone Edgar A. Duénez-Guzmán P. Sunehag Iain Dunning T. Graepel AI4CE 16 37 0 17 Dec 2018
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control F. Ebert Chelsea Finn Sudeep Dasari Annie Xie Alex X. Lee Sergey Levine SSL 29 377 0 03 Dec 2018
On the Complexity of Reconnaissance Blind Chess Jared Markowitz Matthieu de Rochemonteix Ashley J. Llorens 14 11 0 07 Nov 2018
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments S. Srinivasan Marc Lanctot V. Zambaldi Julien Perolat K. Tuyls Rémi Munos Michael H. Bowling 6 148 0 21 Oct 2018
Supervising strong learners by amplifying weak experts Paul Christiano Buck Shlegeris Dario Amodei 11 114 0 19 Oct 2018
Transfer Learning versus Multi-agent Learning regarding Distributed Decision-Making in Highway Traffic Mark Schutera Niklas Goby Dirk Neumann Markus Reischl 21 5 0 19 Oct 2018
Reinforcement Learning Decoders for Fault-Tolerant Quantum Computation R. Sweke Markus S. Kesselring E. van Nieuwenburg Jens Eisert AI4CE LRM 11 107 0 16 Oct 2018
The 30-Year Cycle In The AI Debate J. Chauvet 19 8 0 08 Oct 2018
SAI, a Sensible Artificial Intelligence that plays Go F. Morandin G. Amato R. Gini C. Metta Maurizio Parton G. Pascutto LLMAG 16 13 0 11 Sep 2018
ViZDoom Competitions: Playing Doom from Pixels Marek Wydmuch Michal Kempka Wojciech Ja'skowski 24 119 0 10 Sep 2018
Adaptive Behavior Generation for Autonomous Driving using Deep Reinforcement Learning with Compact Semantic States Peter Wolf Karl Kurzer Tobias Wingert Florian Kuhnt Johann Marius Zöllner 30 55 0 10 Sep 2018
A proof that artificial neural networks overcome the curse of dimensionality in the numerical approximation of Black-Scholes partial differential equations Philipp Grohs F. Hornung Arnulf Jentzen Philippe von Wurstemberger 9 167 0 07 Sep 2018
Improving Hearthstone AI by Combining MCTS and Supervised Learning Algorithms M. Świechowski T. Tajmajer Andrzej Janusz BDL 57 59 0 14 Aug 2018
Learning to Drive in a Day Alex Kendall Jeffrey Hawke David Janz Przemyslaw Mazur Daniele Reda John M. Allen Vinh-Dieu Lam Alex Bewley Amar Shah 42 641 0 01 Jul 2018
RUDDER: Return Decomposition for Delayed Rewards Jose A. Arjona-Medina Michael Gillhofer Michael Widrich Thomas Unterthiner Johannes Brandstetter Sepp Hochreiter 22 212 0 20 Jun 2018
$ML + FV = $\heartsuit$? A Survey on the Application of Machine Learning to Formal Verification$ ML + FV = $\heartsuit$ ? A Survey on the Application of Machine Learning to Formal Verification Moussa Amrani L. Lucio Adrien Bibal 20 5 0 10 Jun 2018
Re-evaluating Evaluation David Balduzzi K. Tuyls Julien Perolat T. Graepel MoMe 16 96 0 07 Jun 2018
Fast Exploration with Simplified Models and Approximately Optimistic Planning in Model Based Reinforcement Learning Ramtin Keramati Jay Whang Patrick Cho Emma Brunskill OffRL 21 7 0 01 Jun 2018
Fast Policy Learning through Imitation and Reinforcement Ching-An Cheng Xinyan Yan Nolan Wagener Byron Boots 11 83 0 26 May 2018
Bandit-Based Monte Carlo Optimization for Nearest Neighbors Vivek Bagaria Tavor Z. Baharav G. Kamath David Tse 11 12 0 21 May 2018