Stochastic Reinforcement Learning.
Nikki Lijing KuangClement H. C. LeungVienne W. K. SungPublished in: CoRR (2019)
Keyphrases
- reinforcement learning
- direct policy search
- learning automata
- stochastic approximation
- function approximation
- state space
- markov decision processes
- reinforcement learning algorithms
- control policies
- monte carlo
- model free
- model free reinforcement learning
- policy search
- stochastic optimization
- stochastic model
- learning capabilities
- supervised learning
- multi agent
- machine learning
- reinforcement learning methods
- bayesian networks
- continuous state spaces
- data mining
- real time