Distributed Deep Reinforcement Learning for Intelligent Load Scheduling in Residential Smart Grids.
Hwei-Ming ChungSabita MaharjanYan ZhangFrank EliassenPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- multi agent
- meeting scheduling
- dynamic scheduling
- load balance
- load balancing
- distributed systems
- round robin
- agent technology
- function approximation
- scheduling problem
- distributed environment
- cooperative
- computational grids
- scheduling algorithm
- load balancing strategies
- peer to peer
- fault tolerant
- energy consumption
- resource constraints
- intelligent systems
- scheduling policies
- computer networks
- neural network
- resource allocation
- response time
- optimal policy
- database systems
- distributed intelligent
- real time database systems
- mobile agents
- learning capabilities
- reinforcement learning algorithms
- temporal difference
- model free
- distributed data
- quality of service
- communication cost
- computing environments