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Dynamic population-based meta-learning for multi-agent communication
  with natural language

Dynamic population-based meta-learning for multi-agent communication with natural language

27 October 2021
Abhinav Gupta
Marc Lanctot
Angeliki Lazaridou
    LLMAG
ArXivPDFHTML

Papers citing "Dynamic population-based meta-learning for multi-agent communication with natural language"

5 / 5 papers shown
Title
Towards Developmentally Plausible Rewards: Communicative Success as a Learning Signal for Interactive Language Models
Towards Developmentally Plausible Rewards: Communicative Success as a Learning Signal for Interactive Language Models
Lennart Stöpler
Rufat Asadli
Mitja Nikolaus
Ryan Cotterell
Alex Warstadt
LRM
34
0
0
09 May 2025
Improve the efficiency of deep reinforcement learning through semantic
  exploration guided by natural language
Improve the efficiency of deep reinforcement learning through semantic exploration guided by natural language
Zhourui Guo
Meng Yao
Yang Yu
Qiyue Yin
OnRL
17
1
0
21 Sep 2023
A Survey of Meta-Reinforcement Learning
A Survey of Meta-Reinforcement Learning
Jacob Beck
Risto Vuorio
E. Liu
Zheng Xiong
L. Zintgraf
Chelsea Finn
Shimon Whiteson
OOD
OffRL
16
119
0
19 Jan 2023
"Other-Play" for Zero-Shot Coordination
"Other-Play" for Zero-Shot Coordination
Hengyuan Hu
Adam Lerer
A. Peysakhovich
Jakob N. Foerster
VLM
OffRL
133
213
0
06 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,568
0
09 Mar 2017
1