A Prescriptive Dirichlet Power Allocation Policy with Deep Reinforcement Learning.
Yuan TianMinghao HanChetan S. KulkarniOlga FinkPublished in: CoRR (2022)
Keyphrases
- allocation policy
- reinforcement learning
- allocation policies
- power consumption
- current practice
- boundary conditions
- function approximation
- state space
- reinforcement learning algorithms
- markov decision processes
- machine learning
- monte carlo simulation
- deep learning
- optimal control
- em algorithm
- multi agent
- learning problems
- model free
- mixture model
- action space
- learning process
- temporal difference learning
- autonomous learning
- multi agent reinforcement learning
- robotic control
- learning algorithm