Search Results for author: Ramesh S

Found 3 papers, 2 papers with code

SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning Agents

no code implementations3 Aug 2023 Amirhossein Zolfagharian, Manel Abdellatif, Lionel C. Briand, Ramesh S

For practical reasons, SMARLA is designed to be black-box (as it does not require access to the internals of the agent) and leverages state abstraction to reduce the state space and thus facilitate the learning of safety violation prediction models from agent's states.


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