Title
From Chess and Atari to StarCraft and Beyond: How Game AI is Driving the World of AI S. Risi Mike Preuss 82 57 0 24 Feb 2020
Computer-inspired Quantum Experiments Mario Krenn Manuel Erhard A. Zeilinger 72 75 0 23 Feb 2020
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills Victor Campos Alexander R. Trott Caiming Xiong R. Socher Xavier Giró-i-Nieto Jordi Torres OffRL 101 156 0 10 Feb 2020
Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits Jack Parker-Holder Vu Nguyen Stephen J. Roberts OffRL 161 86 0 06 Feb 2020
Social diversity and social preferences in mixed-motive reinforcement learning Kevin R. McKee I. Gemp Brian McWilliams Edgar A. Duénez-Guzmán Edward Hughes Joel Z Leibo 97 85 0 06 Feb 2020
Soft Hindsight Experience Replay Qiwei He Liansheng Zhuang Houqiang Li 61 9 0 06 Feb 2020
SoundSpaces: Audio-Visual Navigation in 3D Environments Changan Chen Unnat Jain Carl Schissler S. V. A. Garí Ziad Al-Halah V. Ithapu Philip Robinson Kristen Grauman 108 26 0 24 Dec 2019
Variational Recurrent Models for Solving Partially Observable Control Tasks Dongqi Han Kenji Doya Jun Tani DRL OffRL 72 63 0 23 Dec 2019
Predictive Coding for Boosting Deep Reinforcement Learning with Sparse Rewards Xingyu Lu Stas Tiomkin Pieter Abbeel OffRL 72 5 0 21 Dec 2019
Mastering Complex Control in MOBA Games with Deep Reinforcement Learning Deheng Ye Zhao Liu Mingfei Sun Bei Shi P. Zhao ... Tengfei Shi Liang Wang Qiang Fu Wei Yang Lanxiao Huang 67 324 0 20 Dec 2019
Coordination in Adversarial Sequential Team Games via Multi-Agent Deep Reinforcement Learning A. Celli Marco Ciccone Raffaele Bongo N. Gatti 61 12 0 16 Dec 2019
Dota 2 with Large Scale Deep Reinforcement Learning OpenAI OpenAI : Christopher Berner Greg Brockman Brooke Chan ... Szymon Sidor Ilya Sutskever Jie Tang Filip Wolski Susan Zhang GNN VLM CLL AI4CE LRM 181 1,840 0 13 Dec 2019
Increasing Generality in Machine Learning through Procedural Content Generation S. Risi Julian Togelius 67 127 0 29 Nov 2019
A novel method for identifying the deep neural network model with the Serial Number Xiangrui Xu Yaqin Li Cao Yuan AAML 41 8 0 19 Nov 2019
SMIX( $λ$ ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning Xinghu Yao Chao Wen Yuhui Wang Xiaoyang Tan 107 47 0 11 Nov 2019
Adversarial Language Games for Advanced Natural Language Intelligence Yuan Yao Haoxiang Zhong Zhengyan Zhang Xu Han Xiaozhi Wang Chaojun Xiao Guoyang Zeng Zhiyuan Liu Maosong Sun AAML 71 7 0 05 Nov 2019
Visual Hide and Seek Boyuan Chen Shuran Song Hod Lipson Carl Vondrick 71 22 0 15 Oct 2019
Stabilizing Transformers for Reinforcement Learning Emilio Parisotto H. F. Song Jack W. Rae Razvan Pascanu Çağlar Gülçehre ... Aidan Clark Seb Noury M. Botvinick N. Heess R. Hadsell OffRL 110 368 0 13 Oct 2019
On the Utility of Learning about Humans for Human-AI Coordination Micah Carroll Rohin Shah Mark K. Ho Thomas Griffiths Sanjit A. Seshia Pieter Abbeel Anca Dragan HAI 80 405 0 13 Oct 2019
Improving Generalization in Meta Reinforcement Learning using Learned Objectives Louis Kirsch Sjoerd van Steenkiste Jürgen Schmidhuber OffRL 95 119 0 09 Oct 2019
Fast Task-Adaptation for Tasks Labeled Using Natural Language in Reinforcement Learning Matthias Hutsebaut-Buysse Kevin Mets Steven Latré 26 5 0 09 Oct 2019
TorchBeast: A PyTorch Platform for Distributed RL Heinrich Küttler Nantas Nardelli Thibaut Lavril Marco Selvatici V. Sivakumar Tim Rocktaschel Edward Grefenstette OffRL 94 58 0 08 Oct 2019
Automated curricula through setter-solver interactions S. Racanière Andrew Kyle Lampinen Adam Santoro David P. Reichert Vlad Firoiu Timothy Lillicrap 81 53 0 27 Sep 2019
A Generalized Training Approach for Multiagent Learning Paul Muller Shayegan Omidshafiei Mark Rowland K. Tuyls Julien Perolat ... Zhe Wang Guy Lever N. Heess T. Graepel Rémi Munos 102 94 0 27 Sep 2019
V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control H. F. Song A. Abdolmaleki Jost Tobias Springenberg Aidan Clark Hubert Soyer ... Dhruva Tirumala N. Heess Dan Belov Martin Riedmiller M. Botvinick 116 126 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 74 658 0 17 Sep 2019
The Animal-AI Environment: Training and Testing Animal-Like Artificial Cognition Benjamin Beyret José Hernández-Orallo Lucy G. Cheke Marta Halina Murray Shanahan Matthew Crosby 91 35 0 12 Sep 2019
Signal Instructed Coordination in Cooperative Multi-agent Reinforcement Learning Liheng Chen Hongyi Guo Yali Du Fei Fang Haifeng Zhang Yaoming Zhu Ming Zhou Weinan Zhang Qing Wang Yong Yu 56 8 0 10 Sep 2019
Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey Roxana Rădulescu Patrick Mannion D. Roijers A. Nowé 96 146 0 06 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 88 59 0 04 Sep 2019
Universal Policies to Learn Them All Hassam Sheikh Ladislau Bölöni OffRL 25 1 0 24 Aug 2019
Iterative Update and Unified Representation for Multi-Agent Reinforcement Learning Jiancheng Long Hongming Zhang Tianyang Yu Bo Xu 20 0 0 16 Aug 2019
From Crystallized Adaptivity to Fluid Adaptivity in Deep Reinforcement Learning -- Insights from Biological Systems on Adaptive Flexibility M. Schilling Helge J. Ritter F. Ohl AI4CE 41 4 0 13 Aug 2019
Improving Deep Reinforcement Learning in Minecraft with Action Advice Spencer Frazier Mark O. Riedl 84 29 0 02 Aug 2019
Arena: a toolkit for Multi-Agent Reinforcement Learning Qing Wang Jiechao Xiong Lei Han Meng Fang Xinghai Sun Zhuobin Zheng Peng Sun Zhengyou Zhang 59 4 0 20 Jul 2019
Policy-Gradient Algorithms Have No Guarantees of Convergence in Linear Quadratic Games Eric Mazumdar Lillian J. Ratliff Michael I. Jordan S. Shankar Sastry 92 37 0 08 Jul 2019
Neural Network Verification for the Masses (of AI graduates) Ekaterina Komendantskaya Rob Stewart Kirsy Duncan Daniel Kienitz Pierre Le Hen Pascal Bacchus 21 0 0 02 Jul 2019
MULEX: Disentangling Exploitation from Exploration in Deep RL Lucas Beyer Damien Vincent O. Teboul Sylvain Gelly Matthieu Geist Olivier Pietquin 50 14 0 01 Jul 2019
ORRB -- OpenAI Remote Rendering Backend Maciek Chociej Peter Welinder Lilian Weng AI4CE 60 11 0 26 Jun 2019
Ease-of-Teaching and Language Structure from Emergent Communication Fushan Li Michael Bowling 193 102 0 06 Jun 2019
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence Jeff Clune 148 122 0 27 May 2019
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence Yuhang Song Andrzej Wojcicki Thomas Lukasiewicz Jianyi Wang Abi Aryan Zhenghua Xu Mai Xu Zihan Ding Lianlong Wu AI4CE ELM 120 34 0 17 May 2019
A Conceptual Bio-Inspired Framework for the Evolution of Artificial General Intelligence S. Pontes-Filho Stefano Nichele AI4CE 45 6 0 25 Mar 2019
Deep Learning for Cognitive Neuroscience Katherine R. Storrs N. Kriegeskorte NAI AI4CE 80 46 0 04 Mar 2019
Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents Joseph Suárez Yilun Du Phillip Isola Igor Mordatch 77 71 0 02 Mar 2019
AlphaStar: An Evolutionary Computation Perspective Kai Arulkumaran Antoine Cully Julian Togelius 91 185 0 05 Feb 2019
The Hanabi Challenge: A New Frontier for AI Research Nolan Bard Jakob N. Foerster A. Chandar Neil Burch Marc Lanctot ... Iain Dunning Shibl Mourad Hugo Larochelle Marc G. Bellemare Michael Bowling LLMAG 126 355 0 01 Feb 2019
Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks Dongqi Han Kenji Doya Jun Tani AI4CE 126 20 0 29 Jan 2019
Reward Shaping via Meta-Learning Haosheng Zou Zhaolin Ren Dong Yan Hang Su Jun Zhu OffRL 96 69 0 27 Jan 2019
Making AI meaningful again Jobst Landgrebe Barry F. Smith 83 35 0 09 Jan 2019