research
∙
04/20/2021
Identifying Driver Interactions via Conditional Behavior Prediction
Interactive driving scenarios, such as lane changes, merges and unprotec...
share
research
∙
03/26/2021
Composable Learning with Sparse Kernel Representations
We present a reinforcement learning algorithm for learning sparse non-pa...
research
∙
03/08/2021
Learning Connectivity for Data Distribution in Robot Teams
Many algorithms for control of multi-robot teams operate under the assum...
research
∙
12/29/2020
Decentralized Control with Graph Neural Networks
Dynamical systems consisting of a set of autonomous agents face the chal...
research
∙
11/02/2020
Multi-Robot Coverage and Exploration using Spatial Graph Neural Networks
The multi-robot coverage problem is an essential building block for syst...
research
∙
03/23/2020
Graph Neural Networks for Decentralized Controllers
Dynamical systems comprised of autonomous agents arise in many relevant ...
research
∙
07/08/2019
Graph Policy Gradients for Large Scale Robot Control
In this paper, we consider the problem of learning policies to control a...
research
∙
03/25/2019
Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks
We consider the problem of finding distributed controllers for large net...
research
∙
03/25/2019
Inverse Optimal Planning for Air Traffic Control
We envision a system that concisely describes the rules of air traffic c...
research
∙
04/19/2018