A Survey of Explainable Reinforcement Learning.
Stephanie MilaniNicholay TopinManuela VelosoFei FangPublished in: CoRR (2022)
Keyphrases
- reinforcement learning
- function approximation
- state space
- machine learning
- optimal policy
- multi agent
- markov decision processes
- direct policy search
- robotic control
- model free
- learning algorithm
- temporal difference learning
- stochastic approximation
- data sets
- optimal control
- action selection
- temporal difference
- learning capabilities
- policy search
- perceptual aliasing
- genetic algorithm