research
∙
02/14/2023
ℒ_1Quad: ℒ_1 Adaptive Augmentation of Geometric Control for Agile Quadrotors with Performance Guarantees
Quadrotors that can operate safely in the presence of imperfect model kn...
share
research
∙
01/13/2023
Efficient and robust transfer learning of optimal individualized treatment regimes with right-censored survival data
An individualized treatment regime (ITR) is a decision rule that assigns...
research
∙
11/30/2022
Safe Model-Free Reinforcement Learning using Disturbance-Observer-Based Control Barrier Functions
Safe reinforcement learning (RL) with assured satisfaction of hard state...
research
∙
10/08/2022
Safety Embedded Stochastic Optimal Control of Networked Multi-Agent Systems via Barrier States
This paper presents a safe stochastic optimal control method for network...
research
∙
09/20/2022
Optimizing Crop Management with Reinforcement Learning and Imitation Learning
Crop management, including nitrogen (N) fertilization and irrigation man...
research
∙
04/21/2022
Optimizing Nitrogen Management with Deep Reinforcement Learning and Crop Simulations
Nitrogen (N) management is critical to sustain soil fertility and crop p...
research
∙
03/13/2022
CVFNet: Real-time 3D Object Detection by Learning Cross View Features
In recent years 3D object detection from LiDAR point clouds has made gre...
research
∙
12/15/2021
Guaranteed Contraction Control in the Presence of Imperfectly Learned Dynamics
This paper presents an approach for trajectory-centric learning control ...
research
∙
06/04/2021
Robustifying Reinforcement Learning Policies with ℒ_1 Adaptive Control
A reinforcement learning (RL) policy trained in a nominal environment co...
research
∙
08/26/2019
