-
CertRL: Formalizing Convergence Proofs for Value and Policy Iteration in Coq
Reinforcement learning algorithms solve sequential decision-making probl...
read it
-
Verifiably Safe Exploration for End-to-End Reinforcement Learning
Deploying deep reinforcement learning in safety-critical settings requir...
read it
-
Formal Verification of End-to-End Learning in Cyber-Physical Systems: Progress and Challenges
Autonomous systems – such as self-driving cars, autonomous drones, and a...
read it
-
Verifiably Safe Off-Model Reinforcement Learning
The desire to use reinforcement learning in safety-critical settings has...
read it

Nathan Fulton
is this you? claim profile