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Multi-Agent Reinforcement Learning as a Computational Tool for Language
  Evolution Research: Historical Context and Future Challenges

Multi-Agent Reinforcement Learning as a Computational Tool for Language Evolution Research: Historical Context and Future Challenges

20 February 2020
Clément Moulin-Frier
Pierre-Yves Oudeyer
    LM&Ro
ArXivPDFHTML

Papers citing "Multi-Agent Reinforcement Learning as a Computational Tool for Language Evolution Research: Historical Context and Future Challenges"

3 / 3 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
52
6
0
03 Jul 2024
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
Grounding Artificial Intelligence in the Origins of Human Behavior
Grounding Artificial Intelligence in the Origins of Human Behavior
Eleni Nisioti
Clément Moulin-Frier
AI4CE
47
5
0
15 Dec 2020
1