Journal of Machine Learning Research· 2015Q1· Review
A comprehensive survey on safe reinforcement learning
- 1,196citations
- Q1SCImago
- 2015year
Short summary
This survey categorizes and analyzes two primary approaches to Safe Reinforcement Learning (SRL): modifying the optimality criterion with a safety factor, and altering the exploration process using external knowledge or risk metrics.
AI-generated from the title and abstract; the full text is not read.
TakeawaysIn the app
Key pointsIn the app
Ask the paperIn the app
The rest is in the Pofolia app
Takeaways, key points and questions to the paper; new summaries every day for your field. Free.
Sign in on the web to openField: Software
SoftwareComputer Science