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eess.SY2026

Exact Decomposition of Value Functions for Two-Player Games in Hamilton-Jacobi Reachability

Dylan Hirsch, William Sharpless, Sylvia Herbert

Hamilton-Jacobi reachability (HJR) is an important framework in safe control theory. HJR provides theoretical tools and numerical methods to obtain value-functions for tasks involv…

eess.SY2026

Extending and Unifying the Fundamental Tasks of Hamilton-Jacobi Reachability Analysis

Dylan Hirsch, William Sharpless, Donggun Lee +1

In this work, we introduce the generalized reach-avoid (GRA) task, which both extends and unifies the canonical tasks of Hamilton-Jacobi Reachability (HJR). We show that the GRA no…

eess.SY2026

An Update to the Level Set Theorems in Hamilton-Jacobi Reachability Analysis

Dylan Hirsch, William McEneaney, Jaime Fisac +2

Hamilton-Jacobi Reachability (HJR) is an important framework for controlling safety-critical systems despite uncertainty. Its theoretical underpinnings are rooted in Hamilton-Jacob…

eess.SY2026

Exact Decomposition of Adversarial Dual-Objective Value Functions, with Applications to Optimal Drug Dosing

Dylan Hirsch, William Sharpless, Sylvia Herbert

Hamilton-Jacobi Reachability (HJR) is a central framework in safe control theory. While HJR has traditionally focused on a few fundamental tasks, there is increasing interest in sc…

eess.SY2025

Viscosity CBFs: Bridging the Control Barrier Function and Hamilton-Jacobi Reachability Frameworks in Safe Control Theory

Dylan Hirsch, Jaime Fernández Fisac, Sylvia Herbert

Control barrier functions (CBFs) and Hamilton-Jacobi reachability (HJR) are central frameworks in safe control. Traditionally, these frameworks have been viewed as distinct, with t…

eess.SY2025

Approximate Hamilton-Jacobi Reachability Analysis for a Class of Two-Timescale Systems, with Application to Biological Models

Dylan Hirsch, Sylvia Herbert

Hamilton-Jacobi reachability (HJR) is an exciting framework used for control of safety-critical systems with nonlinear and possibly uncertain dynamics. However, HJR suffers from th…

eess.SY2025

Back to Base: Towards Hands-Off Learning via Safe Resets with Reach-Avoid Safety Filters

Azra Begzadić, Nikhil Uday Shinde, Sander Tonkens +5

Designing controllers that accomplish tasks while guaranteeing safety constraints remains a significant challenge. We often want an agent to perform well in a nominal task, such as…