An Introduction to Deep Reinforcement Learning.
Vincent François-LavetPeter HendersonRiashat IslamMarc G. BellemareJoelle PineauPublished in: CoRR (2018)
Keyphrases
- reinforcement learning
- function approximation
- temporal difference
- temporal difference learning
- state space
- multi agent
- learning process
- model free
- optimal policy
- robotic control
- deep learning
- control problems
- reinforcement learning algorithms
- markov decision processes
- learning algorithm
- optimal control
- partially observable
- unsupervised learning
- supervised learning
- least squares
- active learning
- multiscale
- decision making
- machine learning
- learning agent
- databases
- stochastic approximation
- policy search
- data sets