skrl: Modular and Flexible Library for Reinforcement Learning.
Antonio Serrano-MuñozDimitrios ChrysostomouSimon BøghNestor Arana-ArexolaleibaPublished in: J. Mach. Learn. Res. (2023)
Keyphrases
- reinforcement learning
- highly flexible
- function approximation
- learning algorithm
- model free
- multi agent
- machine learning
- reinforcement learning algorithms
- database
- optimal policy
- robotic control
- learning capabilities
- temporal difference
- case study
- lightweight
- monte carlo
- dynamical systems
- learning problems
- state space
- image sequences
- website
- decision making
- control problems
- temporal difference learning
- search engine
- data sets