PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid Control.
Dong ChenZhaojian LiTianshu ChuRui YaoFeng QiuKaixiang LinPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- multi agent
- control problems
- optimal control
- control method
- model free
- cooperative
- control policy
- state space
- single agent
- function approximation
- adaptive control
- reinforcement learning algorithms
- markov decision processes
- robot control
- control policies
- neural network
- multi agent reinforcement learning
- multiagent systems
- optimal policy
- learning process
- multi agent systems
- multi robot
- control strategy
- transfer learning
- control strategies
- supervised learning
- dynamic programming
- data sets