Explainability in Deep Reinforcement Learning.
Alexandre HeuilletFabien CouthouisNatalia Díaz RodríguezPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- function approximation
- markov decision processes
- learning problems
- multi agent
- temporal difference learning
- reinforcement learning algorithms
- model free
- function approximators
- optimal control
- transfer learning
- temporal difference
- policy search
- real world
- databases
- perceptual aliasing
- evolutionary learning
- optimal policy
- unsupervised learning
- supervised learning
- state space
- dynamic programming
- hidden markov models
- decision making
- neural network