activity
20142024
most citedSafety and Liveness Guarantees through Reach-Avoid Reinforcement Learning

38 citations · 102 across the 16 of their papers we have counts for

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Showing math.OCShow all

6 papers · 1 filter

math.OC20166 cited

Exact and Efficient Hamilton-Jacobi-based Guaranteed Safety Analysis via System Decomposition

Mo Chen, Sylvia Herbert, Claire J. Tomlin

Hamilton-Jacobi (HJ) reachability is a method that provides rigorous analyses of the safety properties of dynamical systems. This method has been successfully applied to many low-d…

math.OC20141 cited

Reach-Avoid Problems with Time-Varying Dynamics, Targets and Constraints

Jaime F. Fisac, Mo Chen, Claire J. Tomlin +1

We consider a reach-avoid differential game, in which one of the players aims to steer the system into a target set without violating a set of state constraints, while the other pl…

math.OC20147 cited

Risk-Limiting Dynamic Contracts for Direct Load Control

Insoon Yang, Duncan S. Callaway, Claire J. Tomlin

This paper proposes a novel continuous-time dynamic contract framework that has a risk-limiting capability. If a principal and an agent enter into such a contract, the principal ca…

math.OC20142 cited

Path integral formulation of stochastic optimal control with generalized costs

Insoon Yang, Matthias Morzfeld, Claire J. Tomlin +1

Path integral control solves a class of stochastic optimal control problems with a Monte Carlo (MC) method for an associated Hamilton-Jacobi-Bellman (HJB) equation. The MC approach…

math.OC20148 cited

Practical Comparison of Optimization Algorithms for Learning-Based MPC with Linear Models

Anil Aswani, Patrick Bouffard, Xiaojing Zhang +1

Learning-based control methods are an attractive approach for addressing performance and efficiency challenges in robotics and automation systems. One such technique that has found…

math.OC2014

Dynamic Contracts with Partial Observations: Application to Indirect Load Control

Insoon Yang, Duncan S. Callaway, Claire J. Tomlin

This paper proposes a method to design an optimal dynamic contract between a principal and an agent, who has the authority to control both the principal's revenue and an engineered…