Metadata
Title
Safety and Stability Preserving Reinforcement Learning
Category
general
UUID
fe92ee27222944e5b5c9d3363781867e
Source URL
https://wsai.iitm.ac.in/themes/safety-and-stability-preserving-reinforcement-lea...
Parent URL
https://wsai.iitm.ac.in/research/
Crawl Time
2026-03-23T18:26:31+00:00
Rendered Raw Markdown

Safety and Stability Preserving Reinforcement Learning

Source: https://wsai.iitm.ac.in/themes/safety-and-stability-preserving-reinforcement-learning/ Parent: https://wsai.iitm.ac.in/research/

Safety and Stability Preserving Reinforcement Learning

Tags

reinforcement learning deep learning control theory autonomous systems

While reinforcement algorithms have achieved notable successes recently, the use of such approaches in controlling real physical systems is not really prevalent. The primary reason for this is the lack guarantees regarding safety and stability of the physical system in classical RL algorithms. In this project, we will explore ideas from classical control theory as well as more recent advances in deep learning to develop more robust algorithms deployable on physical systems.