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Biases for Emergent Communication in Multi-agent Reinforcement Learning

Biases for Emergent Communication in Multi-agent Reinforcement Learning

11 December 2019
Tom Eccles
Yoram Bachrach
Guy Lever
Angeliki Lazaridou
T. Graepel
    AI4CE
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Papers citing "Biases for Emergent Communication in Multi-agent Reinforcement Learning"

12 / 12 papers shown
Title
A Review of the Applications of Deep Learning-Based Emergent
  Communication
A Review of the Applications of Deep Learning-Based Emergent Communication
Brendon Boldt
David R. Mortensen
VLM
34
6
0
03 Jul 2024
Natural Language-conditioned Reinforcement Learning with Inside-out Task
  Language Development and Translation
Natural Language-conditioned Reinforcement Learning with Inside-out Task Language Development and Translation
Jing-Cheng Pang
Xinyi Yang
Sibei Yang
Yang Yu
29
8
0
18 Feb 2023
Towards True Lossless Sparse Communication in Multi-Agent Systems
Towards True Lossless Sparse Communication in Multi-Agent Systems
Seth Karten
Mycal Tucker
Siva Kailas
Katia P. Sycara
37
4
0
30 Nov 2022
Over-communicate no more: Situated RL agents learn concise communication
  protocols
Over-communicate no more: Situated RL agents learn concise communication protocols
A. Kalinowska
Elnaz Davoodi
Florian Strub
Kory W. Mathewson
Ivana Kajić
Michael Bowling
Todd D. Murphey
P. Pilarski
18
4
0
02 Nov 2022
Emergent Communication through Metropolis-Hastings Naming Game with Deep
  Generative Models
Emergent Communication through Metropolis-Hastings Naming Game with Deep Generative Models
T. Taniguchi
Yuto Yoshida
Akira Taniguchi
Y. Hagiwara
MLLM
27
22
0
24 May 2022
Emergent Graphical Conventions in a Visual Communication Game
Emergent Graphical Conventions in a Visual Communication Game
Shuwen Qiu
Sirui Xie
Lifeng Fan
Tao Gao
Jungseock Joo
Song-Chun Zhu
Yixin Zhu
29
12
0
28 Nov 2021
Towards Learning to Speak and Hear Through Multi-Agent Communication
  over a Continuous Acoustic Channel
Towards Learning to Speak and Hear Through Multi-Agent Communication over a Continuous Acoustic Channel
Kevin Eloff
Okko Rasanen
H. Engelbrecht
Arnu Pretorius
Herman Kamper
35
3
0
04 Nov 2021
Convergence Rates of Average-Reward Multi-agent Reinforcement Learning
  via Randomized Linear Programming
Convergence Rates of Average-Reward Multi-agent Reinforcement Learning via Randomized Linear Programming
Alec Koppel
Amrit Singh Bedi
Bhargav Ganguly
Vaneet Aggarwal
29
4
0
22 Oct 2021
Emergent Discrete Communication in Semantic Spaces
Emergent Discrete Communication in Semantic Spaces
Mycal Tucker
Huao Li
Siddharth Agrawal
Dana Hughes
Katia P. Sycara
Michael Lewis
J. Shah
21
28
0
04 Aug 2021
Quasi-Equivalence Discovery for Zero-Shot Emergent Communication
Quasi-Equivalence Discovery for Zero-Shot Emergent Communication
Kalesha Bullard
Douwe Kiela
Franziska Meier
Joelle Pineau
Jakob N. Foerster
27
20
0
14 Mar 2021
Open Problems in Cooperative AI
Open Problems in Cooperative AI
Allan Dafoe
Edward Hughes
Yoram Bachrach
Tantum Collins
Kevin R. McKee
Joel Z Leibo
Kate Larson
T. Graepel
34
199
0
15 Dec 2020
Emergent Multi-Agent Communication in the Deep Learning Era
Emergent Multi-Agent Communication in the Deep Learning Era
Angeliki Lazaridou
Marco Baroni
AI4CE
48
196
0
03 Jun 2020
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