Prozessorientiertes Reinforcement Learning: Grafische Modellierung zur Unterstützung der Erklärbarkeit (Process-Oriented Reinforcement Learning: Using Graphical Modeling to increase Explainability).
Clemens SchreiberGunther SchieferSascha AlpersMarius TakeAndreas OberweisPublished in: Modellierung (Companion) (2020)
Keyphrases
- reinforcement learning
- process oriented
- function approximation
- state space
- optimal policy
- markov decision processes
- reinforcement learning algorithms
- neural network
- learning process
- supervised learning
- computer supported
- policy search
- multi agent reinforcement learning
- temporal difference learning
- markov decision process
- temporal difference
- optimal control
- dynamic programming
- machine learning
- action space
- hidden markov models