Project deliverable Open Access
D2.3 Multi-agent Deep Reinforcement Learning Scheme Specifications
Zhang, Yue; Ge, Lu; Cosmas, John; Meunier, Ben; Eappen, Geoffrey; Ali, Kareem; Koffman, Israel; Kazmierowski, Alexandre; Gabillon, Victor; Artemenko, Alexander; Wostradowski, Uwe; Khoa Le, Ta Dang
This deliverable reports all the activities and outcomes related to specifying the requirements for the multi-agent Deep Reinforcement Learning (MA-DRL) scheme of 6G BRAINS. Several applications of DRL are identified by the partners in relation to the general 6G BRAINS use cases defined in D2.1. For each of the DRL applications, it will identify the interfaces between the network and the MA-DRL, as well as the data that need to transit between the MA-DRL scheme and the network. This report lays the ground for the developments of the RL-applications in the MA-DRL scheme.
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- Publication date:
- September 30, 2021
- DOI:
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- Grants:
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European Commission:
- 6G BRAINS - Bring Reinforcement-learning Into Radio Light Network for Massive Connections (101017226)
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International