Ray RLLib: A Composable and Scalable Reinforcement Learning Library.
Eric LiangRichard LiawRobert NishiharaPhilipp MoritzRoy FoxJoseph GonzalezKen GoldbergIon StoicaPublished in: CoRR (2017)
Keyphrases
- reinforcement learning
- function approximation
- optimal policy
- neural network
- ray tracing
- state space
- robotic control
- multi agent reinforcement learning
- highly scalable
- reinforcement learning algorithms
- temporal difference
- model free
- markov decision processes
- optimal control
- supervised learning
- metadata
- web scale
- learning agent
- information systems
- reinforcement learning methods
- machine learning
- data sets