Decomposition of Uncertainty for Active Learning and Reliable Reinforcement Learning in Stochastic Systems.
Stefan DepewegJosé Miguel Hernández-LobatoFinale Doshi-VelezSteffen UdluftPublished in: CoRR (2017)
Keyphrases
- control system
- stochastic systems
- active learning
- reinforcement learning
- confidence intervals
- stochastic models
- learning algorithm
- supervised learning
- transfer learning
- machine learning
- conservation laws
- function approximation
- labeled data
- semi supervised
- monte carlo
- optimal control
- sample path
- conditional probabilities
- model free
- temporal difference
- state space
- dynamic programming
- optimal policy
- wavelet transform