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Found 4 papers, 0 papers with code
Probabilistic reachable sets of stochastic nonlinear systems with contextual uncertainties
The existing methods of computing probabilistic reachable sets normally assume that the uncertainties are independent of the state.
A Survey of Constraint Formulations in Safe Reinforcement Learning
Safety is critical when applying reinforcement learning (RL) to real-world problems.
Bayesian Meta-Learning on Control Barrier Functions with Data from On-Board Sensors
The proposed scheme realizes efficient online synthesis of the controller as shown in the simulation study and provides probabilistic safety guarantees on the resulting controller.
Receding Horizon Optimization for Disturbance-aware Predictive Control of Power Electronic Inverters
By adding extra PWM constraints to the proposed control strategy, an Optimal PWM Control Mode (OPCM) is introduced as an example.
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