Fever Basketball: A Complex, Flexible, and Asynchronized Sports Game Environment for Multi-agent Reinforcement Learning

6 December 2020

Changjie Fan

Papers citing "Fever Basketball: A Complex, Flexible, and Asynchronized Sports Game Environment for Multi-agent Reinforcement Learning"

30 / 30 papers shown

Title
Macro-Action-Based Deep Multi-Agent Reinforcement Learning Yuchen Xiao Joshua Hoffman Chris Amato AI4CE 64 29 0 18 Apr 2020
Thinking While Moving: Deep Reinforcement Learning with Concurrent Control Ted Xiao Eric Jang Dmitry Kalashnikov Sergey Levine Julian Ibarz Karol Hausman Alexander Herzog 104 39 0 13 Apr 2020
Agent57: Outperforming the Atari Human Benchmark Adria Puigdomenech Badia Bilal Piot Steven Kapturowski Pablo Sprechmann Alex Vitvitskyi Daniel Guo Charles Blundell OffRL 99 521 0 30 Mar 2020
Leveraging Procedural Generation to Benchmark Reinforcement Learning K. Cobbe Christopher Hesse Jacob Hilton John Schulman 92 557 0 03 Dec 2019
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms Kai Zhang Zhuoran Yang Tamer Basar 226 1,227 0 24 Nov 2019
Making Efficient Use of Demonstrations to Solve Hard Exploration Problems T. Paine Çağlar Gülçehre Bobak Shahriari Misha Denil Matt Hoffman ... Duncan Williams Gabriel Barth-Maron Ziyun Wang Nando de Freitas Worlds Team 82 84 0 03 Sep 2019
Google Research Football: A Novel Reinforcement Learning Environment Karol Kurach Anton Raichuk Piotr Stańczyk Michal Zajac Olivier Bachem ... C. Riquelme Damien Vincent Marcin Michalski Olivier Bousquet Sylvain Gelly 166 408 0 25 Jul 2019
Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning Georgios Papoudakis Filippos Christianos Arrasy Rahman Stefano V. Albrecht 87 191 0 11 Jun 2019
Habitat: A Platform for Embodied AI Research Manolis Savva Abhishek Kadian Oleksandr Maksymets Yili Zhao Erik Wijmans ... Jia-Wei Liu V. Koltun Jitendra Malik Devi Parikh Dhruv Batra LM&Ro 136 1,424 0 02 Apr 2019
Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning Arthur Juliani Ahmed Khalifa Vincent-Pierre Berges Jonathan Harper Ervin Teng Hunter Henry A. Crespi Julian Togelius Danny Lange 75 144 0 04 Feb 2019
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 119 568 0 12 Oct 2018
Unity: A General Platform for Intelligent Agents Arthur Juliani Vincent-Pierre Berges Esh Vckay Andrew Cohen Jonathan Harper ... Chris Goy Yuan Gao Hunter Henry Marwan Mattar Danny Lange 87 821 0 07 Sep 2018
Feedback-Based Tree Search for Reinforcement Learning Daniel R. Jiang E. Ekwedike Han Liu 120 29 0 15 May 2018
Gotta Learn Fast: A New Benchmark for Generalization in RL Alex Nichol Vicki Pfau Christopher Hesse Oleg Klimov John Schulman VLM OffRL 70 177 0 10 Apr 2018
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Mikayel Samvelyan Christian Schroeder de Witt Gregory Farquhar Jakob N. Foerster Shimon Whiteson 171 1,677 0 30 Mar 2018
Distributed Prioritized Experience Replay Dan Horgan John Quan David Budden Gabriel Barth-Maron Matteo Hessel H. V. Hasselt David Silver 154 741 0 02 Mar 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 319 8,436 0 04 Jan 2018
DeepMind Control Suite Yuval Tassa Yotam Doron Alistair Muldal Tom Erez Yazhe Li ... A. Abdolmaleki J. Merel Andrew Lefrancq Timothy Lillicrap Martin Riedmiller ELM LM&Ro BDL 150 1,144 0 02 Jan 2018
AI2-THOR: An Interactive 3D Environment for Visual AI Eric Kolve Roozbeh Mottaghi Winson Han Eli VanderBilt Luca Weihs ... Daniel Gordon Yuke Zhu Aniruddha Kembhavi Abhinav Gupta Ali Farhadi LM&Ro 90 1,113 0 14 Dec 2017
Rainbow: Combining Improvements in Deep Reinforcement Learning Matteo Hessel Joseph Modayil H. V. Hasselt Tom Schaul Georg Ostrovski Will Dabney Dan Horgan Bilal Piot M. G. Azar David Silver OffRL 112 2,274 0 06 Oct 2017
StarCraft II: A New Challenge for Reinforcement Learning Oriol Vinyals T. Ewalds Sergey Bartunov Petko Georgiev A. Vezhnevets ... Anthony Brunasso David Lawrence Anders Ekermo J. Repp Rodney Tsing 95 875 0 16 Aug 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 598 19,317 0 20 Jul 2017
Counterfactual Multi-Agent Policy Gradients Jakob N. Foerster Gregory Farquhar Triantafyllos Afouras Nantas Nardelli Shimon Whiteson 167 2,091 0 24 May 2017
Virtual to Real Reinforcement Learning for Autonomous Driving Xinlei Pan Yurong You Ziyan Wang Cewu Lu OffRL 106 336 0 13 Apr 2017
DeepMind Lab Charlie Beattie Joel Z Leibo Denis Teplyashin Tom Ward Marcus Wainwright ... Stephen Gaffney Helen King Demis Hassabis Shane Legg Stig Petersen 54 241 0 12 Dec 2016
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving Shai Shalev-Shwartz Shaked Shammah Amnon Shashua 120 840 0 11 Oct 2016
Playing FPS Games with Deep Reinforcement Learning Guillaume Lample Devendra Singh Chaplot OffRL EgoV 91 588 0 18 Sep 2016
Deep Reinforcement Learning from Self-Play in Imperfect-Information Games Johannes Heinrich David Silver SSL 81 400 0 03 Mar 2016
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 137 12,280 0 19 Dec 2013
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 122 3,022 0 19 Jul 2012