Non-stationary Reinforcement Learning without Prior Knowledge: an Optimal Black-box Approach.
Chen-Yu WeiHaipeng LuoPublished in: COLT (2021)
Keyphrases
- non stationary
- black box
- prior knowledge
- reinforcement learning
- black boxes
- adaptive algorithms
- white box
- optimal control
- dynamic programming
- integration testing
- learning algorithm
- autoregressive
- biomedical signals
- function approximation
- databases
- hybrid systems
- optimal policy
- open source
- change point detection
- database
- white box testing
- stock price
- markov decision processes
- state space
- feature extraction
- high level
- decision trees
- neural network