Deep Black-Box Reinforcement Learning with Movement Primitives.
Fabian OttoOnur CelikHongyi ZhouHanna ZiescheNgo Anh VienGerhard NeumannPublished in: CoRR (2022)
Keyphrases
- black box
- reinforcement learning
- black boxes
- white box
- function approximation
- state space
- reinforcement learning algorithms
- test cases
- high level
- hybrid systems
- machine learning
- multi agent
- model free
- rule extraction
- low level
- learning algorithm
- temporal difference
- white box testing
- markov decision processes
- state transition
- optimal control
- knowledge management
- supervised learning
- mobile robot
- dynamic programming
- training data