A Review of Uncertainty for Deep Reinforcement Learning.
Owen LockwoodMei SiPublished in: CoRR (2022)
Keyphrases
- reinforcement learning
- uncertain data
- state space
- partial observability
- reinforcement learning algorithms
- machine learning
- function approximation
- multi agent
- sequential decision problems
- database
- reinforcement learning methods
- deep learning
- temporal difference
- learning process
- case study
- markov decision processes
- transfer learning
- monte carlo
- expected utility
- optimal policy
- partially observable
- possibility theory
- search space
- artificial intelligence