Tutorial on Explainable Deep Reinforcement Learning: One framework, three paradigms and many challenges.
George A. VourosPublished in: SETN (2022)
Keyphrases
- reinforcement learning
- real world
- data sets
- main contribution
- fundamental principles
- application scenarios
- function approximation
- conceptual framework
- decision making
- theoretical framework
- learning process
- lessons learned
- transfer learning
- state space
- multi agent
- multiscale
- artificial intelligence
- machine learning
- data mining
- neural network