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Scalable Centralized Deep Multi-Agent Reinforcement Learning via Policy
  Gradients

Scalable Centralized Deep Multi-Agent Reinforcement Learning via Policy Gradients

22 May 2018
Arbaaz Khan
Clark Zhang
Daniel D. Lee
Vijay Kumar
Alejandro Ribeiro
ArXivPDFHTML

Papers citing "Scalable Centralized Deep Multi-Agent Reinforcement Learning via Policy Gradients"

4 / 4 papers shown
Title
Communication-Efficient and Distributed Learning Over Wireless Networks:
  Principles and Applications
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications
Jihong Park
S. Samarakoon
Anis Elgabli
Joongheon Kim
M. Bennis
Seong-Lyun Kim
Mérouane Debbah
34
161
0
06 Aug 2020
R-MADDPG for Partially Observable Environments and Limited Communication
R-MADDPG for Partially Observable Environments and Limited Communication
Rose E. Wang
M. Everett
Jonathan P. How
17
87
0
16 Feb 2020
Graph Policy Gradients for Large Scale Robot Control
Graph Policy Gradients for Large Scale Robot Control
Arbaaz Khan
Ekaterina V. Tolstaya
Alejandro Ribeiro
Vijay Kumar
10
93
0
08 Jul 2019
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
443
11,715
0
09 Mar 2017
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