Designing a Fuzzy Q-Learning Power Energy System Using Reinforcement Learning.
Avanija J.Suneetha KonduruVijetha KuraGrande NagaJyothiBhanuprakash DudiMani Naidu S.Published in: Int. J. Fuzzy Syst. Appl. (2022)
Keyphrases
- reinforcement learning
- reinforcement learning algorithms
- function approximation
- state space
- model free
- fuzzy sets
- learning algorithm
- temporal difference learning
- optimal policy
- multi agent
- power consumption
- energy management
- solar energy
- markov decision processes
- fuzzy logic
- action selection
- machine learning
- multi agent reinforcement learning
- stochastic approximation
- total energy
- control problems
- energy efficiency
- fuzzy numbers
- membership functions
- electrical power
- eligibility traces
- reinforcement learning methods
- power distribution systems
- continuous state
- fuzzy rules
- temporal difference
- policy iteration
- state action
- fuzzy controller
- dynamic programming
- multiagent learning
- learning problems
- energy consumption
- single agent
- cooperative
- exploration strategy
- energy dissipation
- learning agent
- action space
- neural network
- electrical energy
- learning classifier systems