Modeling the Environment in Deep Reinforcement Learning: The Case of Energy Harvesting Base Stations.
Nicola PiovesanMarco MiozzoPaolo DiniPublished in: ICASSP (2020)
Keyphrases
- base station
- reinforcement learning
- energy consumption
- energy efficient
- sensor nodes
- wireless networks
- wireless sensor networks
- sensor networks
- real time
- energy efficiency
- mobile robot
- wireless sensor
- mobile networks
- cellular networks
- mobile communication
- indoor environments
- learning algorithm
- ad hoc networks
- optimal policy
- virtual world
- distributed systems
- state space
- multi agent
- single user