Deep Reinforcement Learning: An Overview.
Seyed Sajad MousaviMichael SchukatEnda HowleyPublished in: CoRR (2018)
Keyphrases
- reinforcement learning
- function approximation
- model free
- markov decision processes
- dynamic programming
- state space
- optimal policy
- reinforcement learning algorithms
- neural network
- temporal difference
- direct policy search
- multi agent reinforcement learning
- learning classifier systems
- stochastic approximation
- action selection
- learning algorithm
- data sets
- transition model
- temporal difference learning
- deep learning
- current status
- partially observable
- unsupervised learning
- support vector
- search space
- evolutionary algorithm
- markov chain