Abstract: This paper presents a safe off-policy reinforcement learning (RL) scheme to design optimal controllers for systems with uncertain dynamics. The utility function for which its optimization ...
Abstract: This paper develops a new control design for guaranteeing a vehicle's safety during lane change maneuvers in a complex traffic environment. The proposed method uses a finite state machine ...
Python support for Azure Functions is based on Python 3.10, 3.11, 3.12, and 3.13 serverless hosting on Linux, and the Functions 2.x (EOL), 3.x (EOL) and 4.0 runtime. This project welcomes ...
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