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Reinforcement Learning in Decentralized Stochastic Control Systems with Partial History Sharing

Published on Jul 28, 20152157 Views

In this paper, we are interested in systems with multiple agents that wish to cooperate in order to accomplish a common task while a) agents have different information (decentralized information) and

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Reinforcement Learning in Multi-Agent Systems with Partial History Sharing00:00
Motivation00:25
Challenges01:12
Problem Formulation - 101:44
Problem Formulation - 202:19
Partial History Sharing03:11
Methodology04:38
Salient Feature of the Approach05:11
Step 1) Common Information Approach - 106:05
Step 1) Common Information Approach - 206:57
Step 2: An Approximate POMDP RL Algorithm - 107:31
Step 2: An Approximate POMDP RL Algorithm- 208:54
Multi-Agent RL Algorithm10:22
Example: Multi-Access Broadcasting Channel (MABC) - 112:16
Example: Multi-Access Broadcasting Channel (MABC) - 213:29
Example: Multi-Access Broadcasting Channel (MABC) - 314:05
Summary14:57
Thank you15:39