Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models.
Kurtland ChuaRoberto CalandraRowan McAllisterSergey LevinePublished in: CoRR (2018)
Keyphrases
- reinforcement learning
- probabilistic model
- experimental data
- transition model
- prior knowledge
- generative model
- parameter estimation
- dynamical systems
- machine learning algorithms
- agent based simulations
- latent variable models
- function approximation
- dynamic model
- computational models
- statistical models
- statistical model
- neural network
- probability distribution
- artificial neural networks
- learning algorithm
- machine learning