Model predictive control (MPC) for a stochastic linear system with runtime signal temporal logic (STL) specifications
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Updated
Sep 6, 2024 - Python
Model predictive control (MPC) for a stochastic linear system with runtime signal temporal logic (STL) specifications
This project focuses on implementing a novel approach to Risk-Aware Transfer in Reinforcement Learning (RL). This project introduces a unique perspective by incorporating risk at the test level rather than during training.
Ripple is a PyTorch library for Risk-aware ML
A risk-aware framework for Task Allocation among Stochastic Multi-Agent Systems
Implementation for "The Price of a Safe Flight: Risk Cost Based Path Planning" [Accepted Presentation ICRA 2024]
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