Distributed Optimization for Distribution Grids With Stochastic DER Using Multi-Agent Deep Reinforcement Learning.
Mohammed Al-SaffarPetr MusílekPublished in: IEEE Access (2021)
Keyphrases
- multi agent
- reinforcement learning
- direct policy search
- stochastic optimization
- cooperative
- multi agent reinforcement learning
- function approximation
- optimal control problems
- single agent
- distributed systems
- stochastic search
- optimization algorithm
- intelligent agents
- multi agent systems
- multi agent architecture
- global optimization
- multi agent coordination
- optimal control
- multiagent reinforcement learning
- multi agent environments
- distributed environment
- stochastic programming
- distributed computing
- autonomous agents
- multiagent systems
- multiple agents
- reinforcement learning agents
- heterogeneous agents
- stochastic approximation
- discrete random variables
- learning algorithm
- model free
- machine learning
- software agents
- monte carlo
- peer to peer
- optimization problems
- reinforcement learning algorithms
- probability distribution
- temporal difference
- state space
- learning process
- grid computing
- optimization methods
- computing environments
- data distribution