Distributed Volt-VAR Optimization based on Multi-Agent Deep Reinforcement Learning.
Hepeng LiZhenhua WangHaibo HePublished in: IJCNN (2021)
Keyphrases
- multi agent
- reinforcement learning
- cooperative
- function approximation
- multi agent systems
- intelligent agents
- learning agents
- optimization problems
- multiple agents
- multi agent environments
- robust optimization
- multi agent reinforcement learning
- optimization method
- software agents
- multiagent systems
- global optimization
- neural network
- single agent
- multi agent coordination
- multiagent reinforcement learning
- mobile agents
- state space
- constrained optimization
- optimization algorithm
- temporal difference
- multiagent environments
- multi agent planning
- risk measures
- reinforcement learning agents
- heterogeneous agents
- multi agent architecture
- optimization process
- agent communication
- reinforcement learning algorithms
- model free
- communication cost
- distributed environment
- learning problems
- markov decision processes
- autonomous agents
- optimal policy
- peer to peer
- evolutionary algorithm