Stochastic Reinforcement Learning.
Nikki Lijing KuangClement H. C. LeungVienne W. K. SungPublished in: AIKE (2018)
Keyphrases
- reinforcement learning
- direct policy search
- stochastic approximation
- learning automata
- learning algorithm
- function approximation
- state space
- monte carlo
- control policies
- stochastic optimization
- stochastic model
- optimal policy
- database
- learning process
- reinforcement learning algorithms
- temporal difference
- learning problems
- action selection
- robot control
- stochastic process
- model free
- optimal control
- stochastic models
- multi agent
- approximate dynamic programming
- multi agent reinforcement learning
- robotic control
- sufficient conditions