4 citations · 4 across the 5 of their papers we have counts for
5 papers
Multi-Task Learning for Few-Shot Online Adaptation under Signal Temporal Logic Specifications
Andres Arias, Chuangchuang Sun
Multi-task learning (MTL) seeks to improve the generalized performance of learning specific tasks, exploiting useful information incorporated in related tasks. As a promising area,…
Towards an Adaptable and Generalizable Optimization Engine in Decision and Control: A Meta Reinforcement Learning Approach
Sungwook Yang, Chaoying Pei, Ran Dai +1
Sampling-based model predictive control (MPC) has found significant success in optimal control problems with non-smooth system dynamics and cost function. Many machine learning-bas…
Wasserstein Distributionally Robust Control Barrier Function using Conditional Value-at-Risk with Differentiable Convex Programming
Alaa Eddine Chriat, Chuangchuang Sun
Control Barrier functions (CBFs) have attracted extensive attention for designing safe controllers for their deployment in real-world safety-critical systems. However, the percepti…
On the Optimality, Stability, and Feasibility of Control Barrier Functions: An Adaptive Learning-Based Approach
Alaa Eddine Chriat, Chuangchuang Sun
Safety has been a critical issue for the deployment of learning-based approaches in real-world applications. To address this issue, control barrier function (CBF) and its variants…
An Iterative Method for Nonconvex Quadratically Constrained Quadratic Programs
Chuangchuang Sun, Ran Dai
This paper examines the nonconvex quadratically constrained quadratic programming (QCQP) problems using an iterative method. One of the existing approaches for solving nonconvex QC…