Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi

Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi

15 July 2021

Yutai Zhou

Victor J. Lopez

Papers citing "Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi"

19 / 19 papers shown

Title
A Survey on Large Language Model based Human-Agent Systems Henry Peng Zou Wei-Chieh Huang Yaozu Wu Yankai Chen Chunyu Miao ... Yongbin Li Dongyuan Li Dongyuan Li Xue Liu Philip S. Yu LLMAG LM&Ro LM&MA 122 0 0 01 May 2025
Human-Level Performance in No-Press Diplomacy via Equilibrium Search Jonathan Gray Adam Lerer A. Bakhtin Noam Brown 52 50 0 06 Oct 2020
"Other-Play" for Zero-Shot Coordination Hengyuan Hu Adam Lerer A. Peysakhovich Jakob N. Foerster VLM OffRL 150 219 0 06 Mar 2020
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 112 1,811 0 13 Dec 2019
Improving Policies via Search in Cooperative Partially Observable Games Adam Lerer Hengyuan Hu Jakob N. Foerster Noam Brown 51 78 0 05 Dec 2019
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning Hengyuan Hu Jakob N. Foerster OffRL 38 82 0 04 Dec 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 67 387 0 13 Oct 2019
Explainable Reinforcement Learning Through a Causal Lens Prashan Madumal Tim Miller L. Sonenberg F. Vetere CML 84 357 0 27 May 2019
On the Pitfalls of Measuring Emergent Communication Ryan J. Lowe Jakob N. Foerster Y-Lan Boureau Joelle Pineau Yann N. Dauphin 131 132 0 12 Mar 2019
Re-determinizing Information Set Monte Carlo Tree Search in Hanabi J. Goodman 46 14 0 16 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 62 351 0 01 Feb 2019
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning Jakob N. Foerster H. F. Song Edward Hughes Neil Burch Iain Dunning Shimon Whiteson M. Botvinick Michael Bowling 56 148 0 04 Nov 2018
Evolving Agents for the Hanabi 2018 CIG Competition Rodrigo Canaan Haotian Shen R. Torrado Julian Togelius Andy Nealen Stefan Menzel 27 25 0 26 Sep 2018
Emergent Complexity via Multi-Agent Competition Trapit Bansal J. Pachocki Szymon Sidor Ilya Sutskever Igor Mordatch 55 387 0 10 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 66 868 0 16 Aug 2017
Evaluating and Modelling Hanabi-Playing Agents Joseph Walton-Rivers P. R. Williams R. Bartle Diego Perez-Liebana Simon Lucas LLMAG 37 49 0 24 Apr 2017
Automatic Bridge Bidding Using Deep Reinforcement Learning Chih-Kuan Yeh Hsuan-Tien Lin 133 38 0 12 Jul 2016
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 112 12,163 0 19 Dec 2013
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 95 2,992 0 19 Jul 2012