On the Utility of Learning about Humans for Human-AI Coordination

On the Utility of Learning about Humans for Human-AI Coordination

13 October 2019

Thomas Griffiths

Pieter Abbeel

Papers citing "On the Utility of Learning about Humans for Human-AI Coordination"

9 / 109 papers shown

Title
Open Problems in Cooperative AI Allan Dafoe Edward Hughes Yoram Bachrach Tantum Collins Kevin R. McKee Joel Z. Leibo Kate Larson T. Graepel 42 200 0 15 Dec 2020
Learning to Play No-Press Diplomacy with Best Response Policy Iteration Thomas W. Anthony Tom Eccles Andrea Tacchetti János Kramár I. Gemp ... Richard Everett Roman Werpachowski Satinder Singh T. Graepel Yoram Bachrach 24 42 0 08 Jun 2020
Emergent Multi-Agent Communication in the Deep Learning Era Angeliki Lazaridou Marco Baroni AI4CE 48 197 0 03 Jun 2020
Multi-agent Communication meets Natural Language: Synergies between Functional and Structural Language Learning Angeliki Lazaridou Anna Potapenko O. Tieleman LLMAG 33 96 0 14 May 2020
The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies Stephan Zheng Alexander R. Trott Sunil Srinivasa Nikhil Naik Melvin Gruesbeck David C. Parkes R. Socher 31 131 0 28 Apr 2020
Too many cooks: Bayesian inference for coordinating multi-agent collaboration Rose E. Wang Sarah A. Wu James A. Evans J. Tenenbaum David C. Parkes Max Kleiman-Weiner 36 60 0 26 Mar 2020
"Other-Play" for Zero-Shot Coordination Hengyuan Hu Adam Lerer A. Peysakhovich Jakob N. Foerster VLM OffRL 136 218 0 06 Mar 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 20 80 0 06 Feb 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 457 11,715 0 09 Mar 2017