0.25
0.5
0.75
1.25
1.5
1.75
2
Reinforcement Learning in Decentralized Stochastic Control Systems with Partial History Sharing
Published on Jul 28, 20152153 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
Related categories
Chapter list
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