Statistics and Samples in Distributional Reinforcement Learning.
Mark RowlandRobert DadashiSaurabh KumarRémi MunosMarc G. BellemareWill DabneyPublished in: ICML (2019)
Keyphrases
- reinforcement learning
- function approximation
- data sets
- co occurrence
- training samples
- optimal policy
- supervised learning
- learning algorithm
- state space
- multi agent reinforcement learning
- sample points
- reinforcement learning algorithms
- real time
- case study
- semi supervised
- training set
- multi agent
- sample size
- markov decision processes
- machine learning
- optimal control
- model free
- statistical modeling
- partially observable
- support vector machine
- spectral data