End-to-end Deep Reinforcement Learning for Multi-agent Collaborative Exploration.
Zichen ChenBudhitama SubagdjaAh-Hwee TanPublished in: ICA (2019)
Keyphrases
- end to end
- reinforcement learning
- multi agent
- action selection
- active exploration
- admission control
- multi agent systems
- ad hoc networks
- multipath
- congestion control
- wireless ad hoc networks
- high bandwidth
- rate allocation
- learning algorithm
- learning process
- optimal policy
- content delivery
- application layer
- real time
- multiple agents
- web services