102 citations · 204 across the 61 of their papers we have counts for
8 papers · 1 filter
Learning Biomolecular Models using Signal Temporal Logic
Hanna Krasowski, Eric Palanques-Tost, Calin Belta +1
Modeling dynamical biological systems is key for understanding, predicting, and controlling complex biological behaviors. Traditional methods for identifying governing equations, s…
Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards
Ahmad Ahmad, Mehdi Kermanshah, Kevin Leahy +6
In this paper, we tackle the challenging problem of delayed rewards in reinforcement learning (RL). While Proximal Policy Optimization (PPO) has emerged as a leading Policy Gradien…
Capability Augmentation for Heterogeneous Dynamic Teaming with Temporal Logic Tasks
Carter Berlind, Wenliang Liu, Alyssa Pierson +1
This paper considers how heterogeneous multi-agent teams can leverage their different capabilities to mutually improve individual agent performance. We present Capability-Augmentin…
Learning-Enabled Iterative Convex Optimization for Safety-Critical Model Predictive Control
Shuo Liu, Zhe Huang, Jun Zeng +2
Safety remains a central challenge in control of dynamical systems, particularly when the boundaries of unsafe sets are complex (e.g., nonconvex, nonsmooth) or unknown. This paper…
Model Predictive Control for Magnetically-Actuated Cellbots
Mehdi Kermanshah, Logan E. Beaver, Max Sokolich +5
This paper presents a control framework for magnetically actuated cellbots, which combines Model Predictive Control (MPC) with Gaussian Processes (GPs) as a disturbance estimator f…
Auxiliary-Variable Adaptive Control Lyapunov Barrier Functions for Spatio-Temporally Constrained Safety-Critical Applications
Shuo Liu, Wei Xiao, Calin A. Belta
Recent work has shown that stabilizing an affine control system while optimizing a quadratic cost subject to state and control constraints can be mapped to a sequence of Quadratic…