Counterfactual multi−agent policy gradients
Many real-world problems, such as network packet routing and the coordination of autonomous vehicles, are naturally modelled as cooperative multi-agent systems. There is a great need for new reinforcement learning methods that can ef- ficiently learn decentralised policies for such systems. To this...
| Main Authors: | , , , , |
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| Format: | Conference item |
| Published: |
AAAI Press
2018
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