Deep Black-Box Reinforcement Learning with Movement Primitives.
Fabian OttoOnur CelikHongyi ZhouHanna ZiescheNgo Anh VienGerhard NeumannPublished in: CoRL (2022)
Keyphrases
- black box
- reinforcement learning
- black boxes
- function approximation
- white box
- markov decision processes
- hybrid systems
- multi agent
- integration testing
- state space
- temporal difference
- white box testing
- high level
- rule extraction
- reinforcement learning algorithms
- machine learning
- optimal policy
- data management
- open source
- mobile robot
- low level
- learning algorithm
- incremental learning
- test cases
- supervised learning
- databases