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Improving Multi-Agent Cooperation using Theory of Mind

Improving Multi-Agent Cooperation using Theory of Mind

30 July 2020
Terence X. Lim
Sidney Tio
Desmond C. Ong
    LLMAG
ArXiv (abs)PDFHTML

Papers citing "Improving Multi-Agent Cooperation using Theory of Mind"

6 / 6 papers shown
Title
Using High-Level Patterns to Estimate How Humans Predict a Robot will Behave
Using High-Level Patterns to Estimate How Humans Predict a Robot will Behave
Sagar Parekh
Lauren Bramblett
Nicola Bezzo
Dylan P. Losey
76
0
0
20 Sep 2024
Dota 2 with Large Scale Deep Reinforcement Learning
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
GNNVLMCLLAI4CELRM
169
1,824
0
13 Dec 2019
On the Utility of Learning about Humans for Human-AI Coordination
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
69
396
0
13 Oct 2019
Finding Friend and Foe in Multi-Agent Games
Finding Friend and Foe in Multi-Agent Games
Jack Serrino
Max Kleiman-Weiner
David C. Parkes
J. Tenenbaum
58
61
0
05 Jun 2019
Deal or No Deal? End-to-End Learning for Negotiation Dialogues
Deal or No Deal? End-to-End Learning for Negotiation Dialogues
M. Lewis
Denis Yarats
Yann N. Dauphin
Devi Parikh
Dhruv Batra
LLMAG
91
414
0
16 Jun 2017
Monte Carlo Sampling Methods for Approximating Interactive POMDPs
Monte Carlo Sampling Methods for Approximating Interactive POMDPs
Prashant Doshi
P. Gmytrasiewicz
55
106
0
15 Jan 2014
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