Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings.
Jesse ZhangBrian CheungChelsea FinnSergey LevineDinesh JayaramanPublished in: CoRR (2020)
Keyphrases
- safety critical
- reinforcement learning
- adaptive systems
- fault tolerant
- formal methods
- nuclear power plant
- safety analysis
- agent architecture
- embedded systems
- support systems
- regulatory requirements
- learning process
- learning systems
- real time
- low cost
- user modeling
- information systems
- state space
- domain independent
- decision support system
- multi agent
- learning algorithm
- machine learning