Revisiting Gaussian mixture critics in off-policy reinforcement learning: a sample-based approach.
Bobak ShahriariAbbas AbdolmalekiArunkumar ByravanAbe FriesenSiqi LiuJost Tobias SpringenbergNicolas HeessMatt HoffmanMartin A. RiedmillerPublished in: CoRR (2022)
Keyphrases
- gaussian mixture
- reinforcement learning
- em algorithm
- gaussian mixture model
- mixture model
- probability density function
- closed form
- mixtures of gaussians
- covariance matrix
- expectation maximization
- density estimation
- sample size
- gaussian density
- mixture of gaussians
- mixture distributions
- maximum likelihood
- kl divergence
- gaussian densities
- machine learning
- probability density
- learning algorithm
- statistical model
- natural images
- data mining techniques
- active learning
- computer vision