Multi-agent Deep Reinforcement Learning for Zero Energy Communities.
Amit PrasadIvana DusparicPublished in: ISGT Europe (2019)
Keyphrases
- reinforcement learning
- multi agent
- function approximation
- reinforcement learning algorithms
- multi agent environments
- state space
- cooperative
- energy consumption
- temporal difference
- reinforcement learning agents
- energy minimization
- learning community
- intelligent agents
- markov decision processes
- single agent
- community detection
- learning agents
- traffic signal control
- learning problems
- machine learning
- social networks
- multi agent systems
- community structure
- virtual communities
- multiple agents
- social network analysis
- knowledge sharing
- multiagent systems
- partially observable
- multiagent reinforcement learning
- learning algorithm
- low energy
- minimum energy
- multi agent reinforcement learning
- neural network
- policy search
- heterogeneous agents
- complex networks
- function approximators
- software agents
- reward function