Pages that link to "Item:Q5223788"
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The following pages link to A General Safety Framework for Learning-Based Control in Uncertain Robotic Systems (Q5223788):
Displaying 25 items.
- Safe autonomy under perception uncertainty using chance-constrained temporal logic (Q682357) (← links)
- Enforcing almost-sure reachability in POMDPs (Q832296) (← links)
- Data-driven fault-tolerant formation control for nonlinear quadrotors under multiple simultaneous actuator faults (Q2059512) (← links)
- Safe-visor architecture for sandboxing (AI-based) unverified controllers in stochastic cyber-physical systems (Q2074755) (← links)
- Learning-based symbolic abstractions for nonlinear control systems (Q2097817) (← links)
- Safe exploration in model-based reinforcement learning using control barrier functions (Q2103658) (← links)
- Online data-enabled predictive control (Q2123194) (← links)
- SAMBA: safe model-based \& active reinforcement learning (Q2127227) (← links)
- Robust learning-based MPC for nonlinear constrained systems (Q2184496) (← links)
- A predictive safety filter for learning-based control of constrained nonlinear dynamical systems (Q2665095) (← links)
- Sim-to-lab-to-real: safe reinforcement learning with shielding and generalization guarantees (Q2680780) (← links)
- Learning for Constrained Optimization: Identifying Optimal Active Constraint Sets (Q5084662) (← links)
- Robust Control for Dynamical Systems with Non-Gaussian Noise via Formal Abstractions (Q5881801) (← links)
- Bayesian optimization with safety constraints: safe and automatic parameter tuning in robotics (Q6053801) (← links)
- Online learning‐based model predictive control with Gaussian process models and stability guarantees (Q6060775) (← links)
- Online learning constrained model predictive control based on double prediction (Q6060776) (← links)
- Data‐enabled predictive control for quadcopters (Q6082346) (← links)
- Safe reinforcement learning: A control barrier function optimization approach (Q6089847) (← links)
- Adaptive control Lyapunov function based model predictive control for continuous nonlinear systems (Q6141950) (← links)
- Separation of learning and control for cyber-physical systems (Q6164023) (← links)
- Almost surely safe exploration and exploitation for deep reinforcement learning with state safety estimation (Q6495127) (← links)
- Verification-guided programmatic controller synthesis (Q6536130) (← links)
- Safety reinforcement learning control via transfer learning (Q6574459) (← links)
- Safe adaptive output-feedback optimal control of a class of linear systems (Q6577225) (← links)
- Combining learning and control in linear systems (Q6652186) (← links)
