Title
On the Utility of Learning about Humans for Human-AI Coordination Micah Carroll Rohin Shah Mark K. Ho Thomas Griffiths S. Seshia Pieter Abbeel Anca Dragan HAI 25 382 0 13 Oct 2019
Alternating Recurrent Dialog Model with Large-scale Pre-trained Language Models Qingyang Wu Yichi Zhang Yu Li Zhou Yu VLM 22 63 0 09 Oct 2019
Harnessing Structures for Value-Based Planning and Reinforcement Learning Yuzhe Yang Guo Zhang Zhi Xu Dina Katabi OffRL 27 31 0 26 Sep 2019
Emergent Tool Use From Multi-Agent Autocurricula Bowen Baker I. Kanitscheider Todor Markov Yi Wu Glenn Powell Bob McGrew Igor Mordatch LRM 54 647 0 17 Sep 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 22 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 33 57 0 04 Sep 2019
Playing a Strategy Game with Knowledge-Based Reinforcement Learning Viktor Voss L. Nechepurenko Rudi Schaefer Steffen Bauer 27 5 0 15 Aug 2019
Neural Simplex Architecture Dung Phan Radu Grosu N. Jansen Nicola Paoletti S. Smolka Scott D. Stoller 22 61 0 01 Aug 2019
SentiMATE: Learning to play Chess through Natural Language Processing Isaac Kamlish Isaac Bentata Chocron Nicholas McCarthy 17 10 0 18 Jul 2019
General Board Game Playing for Education and Research in Generic AI Game Learning W. Konen LLMAG 19 25 0 11 Jul 2019
On Inductive Biases in Deep Reinforcement Learning Matteo Hessel H. V. Hasselt Joseph Modayil David Silver AI4CE 33 41 0 05 Jul 2019
Growing Action Spaces Gregory Farquhar Laura Gustafson Zeming Lin Shimon Whiteson Nicolas Usunier Gabriel Synnaeve 14 38 0 28 Jun 2019
Generalization to Novel Objects using Prior Relational Knowledge V. Vijay Abhinav Ganesh Hanlin Tang Arjun K. Bansal GNN 19 6 0 26 Jun 2019
Modern Deep Reinforcement Learning Algorithms Sergey Ivanov A. Dýakonov OffRL 29 39 0 24 Jun 2019
Inductive general game playing Andrew Cropper Richard Evans Mark Law AI4CE 20 27 0 23 Jun 2019
Defending Against Adversarial Examples with K-Nearest Neighbor Chawin Sitawarin David Wagner AAML 11 29 0 23 Jun 2019
Planning With Uncertain Specifications (PUnS) Ankit J. Shah Shen Li J. Shah 24 25 0 07 Jun 2019
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence Jeff Clune 17 116 0 27 May 2019
Adversarial Policies: Attacking Deep Reinforcement Learning Adam Gleave Michael Dennis Cody Wild Neel Kant Sergey Levine Stuart J. Russell AAML 27 349 0 25 May 2019
Ignorance-Aware Approaches and Algorithms for Prototype Selection in Machine Learning V. Terziyan A. Nikulin 19 4 0 15 May 2019
Benchmark and Survey of Automated Machine Learning Frameworks Marc-André Zöller Marco F. Huber 25 86 0 26 Apr 2019
Deep Policies for Width-Based Planning in Pixel Domains Miquel Junyent Anders Jonsson Vicencc Gómez 41 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 37 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 24 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 21 4 0 05 Mar 2019
Coloring Big Graphs with AlphaGoZero Jiayi Huang Md. Mostofa Ali Patwary G. Diamos AI4CE GNN 20 49 0 26 Feb 2019
Planning in Hierarchical Reinforcement Learning: Guarantees for Using Local Policies Tom Zahavy Avinatan Hassidim Haim Kaplan Yishay Mansour OffRL 22 7 0 26 Feb 2019
Challenges for an Ontology of Artificial Intelligence Scott H. Hawley 21 11 0 25 Feb 2019
Robust Reinforcement Learning in POMDPs with Incomplete and Noisy Observations Yuhui Wang Hao He Xiaoyang Tan 30 9 0 15 Feb 2019
Non-Asymptotic Analysis of Monte Carlo Tree Search Devavrat Shah Qiaomin Xie Zhi Xu 19 9 0 14 Feb 2019
Learning Position Evaluation Functions Used in Monte Carlo Softmax Search H. Igarashi Yuichi Morioka Kazumasa Yamamoto 16 0 0 30 Jan 2019
Ablation Studies in Artificial Neural Networks Richard Meyes Melanie Lu Constantin Waubert de Puiseau Tobias Meisen 16 210 0 24 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 39 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 33 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 35 379 0 03 Dec 2018
On the Complexity of Reconnaissance Blind Chess Jared Markowitz Matthieu de Rochemonteix Ashley J. Llorens 22 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 Bowling 13 148 0 21 Oct 2018
Supervising strong learners by amplifying weak experts Paul Christiano Buck Shlegeris Dario Amodei 27 114 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
Finding the best design parameters for optical nanostructures using reinforcement learning Iman Sajedian Trevon Badloe J. Rho 22 12 0 18 Oct 2018
Reinforcement Learning Decoders for Fault-Tolerant Quantum Computation R. Sweke Markus S. Kesselring E. van Nieuwenburg Jens Eisert AI4CE LRM 27 107 0 16 Oct 2018
The 30-Year Cycle In The AI Debate J. Chauvet 32 8 0 08 Oct 2018
Towards Game-based Metrics for Computational Co-creativity Rodrigo Canaan Stefan Menzel Julian Togelius Andy Nealen 17 9 0 26 Sep 2018
SAI, a Sensible Artificial Intelligence that plays Go F. Morandin G. Amato R. Gini C. Metta Maurizio Parton G. Pascutto LLMAG 21 13 0 11 Sep 2018
ViZDoom Competitions: Playing Doom from Pixels Marek Wydmuch Michal Kempka Wojciech Ja'skowski 29 119 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 21 167 0 07 Sep 2018
Improving Hearthstone AI by Combining MCTS and Supervised Learning Algorithms M. Świechowski T. Tajmajer Andrzej Janusz BDL 66 59 0 14 Aug 2018
Recent Advances in Deep Learning: An Overview Matiur Rahman Minar Jibon Naher VLM 29 116 0 21 Jul 2018