Decentralized Coordination of Distributed Energy Resources through Local Energy Markets and Deep Reinforcement Learning.
Daniel MayMatthew TaylorPetr MusilekPublished in: CoRR (2024)
Keyphrases
- multi agent
- reinforcement learning
- cooperative multi agent systems
- distributed agents
- cooperative
- multi agent reinforcement learning
- distributed systems
- multi agent systems
- peer to peer
- decentralized control
- distributed problem solving
- energy consumption
- multi agent coordination
- markov decision processes
- function approximation
- state space
- multi robot coordination
- electronic commerce
- fully distributed
- reinforcement learning algorithms
- model free
- global knowledge
- structured peer to peer
- dynamic programming
- optimal policy
- distributed constraint optimization
- multi agent planning
- coordination mechanism
- software agents
- distributed environment
- multiagent learning
- open systems
- distributed artificial intelligence
- temporal difference
- multi robot systems
- multi robot
- multiple agents
- agent interactions
- cooperative multiagent systems
- learning process
- action space