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