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Found 6 papers, 2 papers with code
The Safety Filter: A Unified View of Safety-Critical Control in Autonomous Systems
Recent years have seen significant progress in the realm of robot autonomy, accompanied by the expanding reach of robotic technologies.
Emergent Coordination through Game-Induced Nonlinear Opinion Dynamics
We present a multi-agent decision-making framework for the emergent coordination of autonomous agents whose intents are initially undecided.
ISAACS: Iterative Soft Adversarial Actor-Critic for Safety
The deployment of robots in uncontrolled environments requires them to operate robustly under previously unseen scenarios, like irregular terrain and wind conditions.
A Real Time Super Resolution Accelerator with Tilted Layer Fusion
Deep learning based superresolution achieves high-quality results, but its heavy computational workload, large buffer, and high external memory bandwidth inhibit its usage in mobile devices.
Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees
To improve safety, we apply a dual policy setup where a performance policy is trained using the cumulative task reward and a backup (safety) policy is trained by solving the Safety Bellman Equation based on Hamilton-Jacobi (HJ) reachability analysis.
Safety and Liveness Guarantees through Reach-Avoid Reinforcement Learning
Recent successes in reinforcement learning methods to approximately solve optimal control problems with performance objectives make their application to certification problems attractive; however, the Lagrange-type objective used in reinforcement learning is not suitable to encode temporal logic requirements.
