Kate Tolstaya

According to our database, Kate Tolstaya authored at least 11 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Synthesizing Decentralized Controllers With Graph Neural Networks and Imitation Learning.

Fernando Gama, Qingbiao Li, Ekaterina I. Tolstaya, Amanda Prorok, Alejandro Ribeiro

IEEE Trans. Signal Process., 2022

2021

Multi-Robot Coverage and Exploration using Spatial Graph Neural Networks.

Ekaterina I. Tolstaya, James Paulos, Vijay Kumar, Alejandro Ribeiro

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Learning Connectivity for Data Distribution in Robot Teams.

Ekaterina I. Tolstaya, Landon Butler, Daniel Mox, James Paulos, Vijay Kumar, Alejandro Ribeiro

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Identifying Driver Interactions via Conditional Behavior Prediction.

Ekaterina I. Tolstaya, Reza Mahjourian, Carlton Downey, Balakrishnan Varadarajan, Benjamin Sapp, Dragomir Anguelov

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Graph Neural Networks for Decentralized Controllers.

Fernando Gama, Ekaterina I. Tolstaya, Alejandro Ribeiro

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Decentralized Control with Graph Neural Networks.

Fernando Gama, Qingbiao Li, Ekaterina I. Tolstaya, Amanda Prorok, Alejandro Ribeiro

CoRR, 2020

2019

Inverse Optimal Planning for Air Traffic Control.

Ekaterina I. Tolstaya, Alejandro Ribeiro, Vijay Kumar, Ashish Kapoor

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks.

Ekaterina I. Tolstaya, Fernando Gama, James Paulos, George J. Pappas, Vijay Kumar, Alejandro Ribeiro

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Graph Policy Gradients for Large Scale Robot Control.

Arbaaz Khan, Ekaterina I. Tolstaya, Alejandro Ribeiro, Vijay Kumar

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

Composable Learning with Sparse Kernel Representations.

Ekaterina I. Tolstaya, Ethan Stump, Alec Koppel, Alejandro Ribeiro

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Nonparametric Stochastic Compositional Gradient Descent for Q-Learning in Continuous Markov Decision Problems.

Ekaterina I. Tolstaya, Alec Koppel, Ethan Stump, Alejandro Ribeiro

Proceedings of the 2018 Annual American Control Conference, 2018