Classifying Options for Deep Reinforcement Learning.
Kai ArulkumaranNat DilokthanakulMurray ShanahanAnil Anthony BharathPublished in: CoRR (2016)
Keyphrases
- reinforcement learning
- function approximation
- reinforcement learning algorithms
- temporal difference
- automatic classification
- machine learning
- model free
- multi agent
- markov decision processes
- learning process
- option pricing
- multi agent reinforcement learning
- continuous state
- deep learning
- belief nets
- markov decision process
- neural network
- robotic control
- hierarchical classification
- action selection
- learning classifier systems
- learning problems
- dynamic environments
- hidden markov models
- bayesian networks
- information retrieval