Ekaterina I. Tolstaya

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 20

Top Topics

Optimal Planning

Subsumption Architecture

Decentralized Control

Top Venues

Publications

Fernando Gama, Qingbiao Li, Ekaterina I. Tolstaya, Amanda Prorok, Alejandro Ribeiro
Synthesizing Decentralized Controllers With Graph Neural Networks and Imitation Learning. IEEE Trans. Signal Process. 70 (2022)
Ekaterina I. Tolstaya, Reza Mahjourian, Carlton Downey, Balakrishnan Varadarajan, Benjamin Sapp, Dragomir Anguelov
Identifying Driver Interactions via Conditional Behavior Prediction. CoRR (2021)
Ekaterina I. Tolstaya, James Paulos, Vijay Kumar, Alejandro Ribeiro
Multi-Robot Coverage and Exploration using Spatial Graph Neural Networks. IROS (2021)
Ekaterina I. Tolstaya, Landon Butler, Daniel Mox, James Paulos, Vijay Kumar, Alejandro Ribeiro
Learning Connectivity for Data Distribution in Robot Teams. CoRR (2021)
Ekaterina I. Tolstaya, Reza Mahjourian, Carlton Downey, Balakrishnan Varadarajan, Benjamin Sapp, Dragomir Anguelov
Identifying Driver Interactions via Conditional Behavior Prediction. ICRA (2021)
Ekaterina I. Tolstaya, Landon Butler, Daniel Mox, James Paulos, Vijay Kumar, Alejandro Ribeiro
Learning Connectivity for Data Distribution in Robot Teams. IROS (2021)
Fernando Gama, Ekaterina I. Tolstaya, Alejandro Ribeiro
Graph Neural Networks for Decentralized Controllers. ICASSP (2021)
Ekaterina I. Tolstaya, Ethan Stump, Alec Koppel, Alejandro Ribeiro
Composable Learning with Sparse Kernel Representations. CoRR (2021)
Fernando Gama, Ekaterina I. Tolstaya, Alejandro Ribeiro
Graph Neural Networks for Decentralized Controllers. CoRR (2020)
Fernando Gama, Qingbiao Li, Ekaterina I. Tolstaya, Amanda Prorok, Alejandro Ribeiro
Decentralized Control with Graph Neural Networks. CoRR (2020)
Ekaterina I. Tolstaya, James Paulos, Vijay Kumar, Alejandro Ribeiro
Multi-Robot Coverage and Exploration using Spatial Graph Neural Networks. CoRR (2020)
Ekaterina I. Tolstaya, Fernando Gama, James Paulos, George J. Pappas, Vijay Kumar, Alejandro Ribeiro
Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks. CoRL (2019)
Arbaaz Khan, Ekaterina I. Tolstaya, Alejandro Ribeiro, Vijay Kumar
Graph Policy Gradients for Large Scale Robot Control. CoRR (2019)
Ekaterina I. Tolstaya, Alejandro Ribeiro, Vijay Kumar, Ashish Kapoor
Inverse Optimal Planning for Air Traffic Control. IROS (2019)
Arbaaz Khan, Ekaterina I. Tolstaya, Alejandro Ribeiro, Vijay Kumar
Graph Policy Gradients for Large Scale Robot Control. CoRL (2019)
Ekaterina I. Tolstaya, Alejandro Ribeiro, Vijay Kumar, Ashish Kapoor
Inverse Optimal Planning for Air Traffic Control. CoRR (2019)
Ekaterina I. Tolstaya, Fernando Gama, James Paulos, George J. Pappas, Vijay Kumar, Alejandro Ribeiro
Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks. CoRR (2019)
Alec Koppel, Ekaterina I. Tolstaya, Ethan Stump, Alejandro Ribeiro
Nonparametric Stochastic Compositional Gradient Descent for Q-Learning in Continuous Markov Decision Problems. CoRR (2018)
Ekaterina I. Tolstaya, Alec Koppel, Ethan Stump, Alejandro Ribeiro
Nonparametric Stochastic Compositional Gradient Descent for Q-Learning in Continuous Markov Decision Problems. ACC (2018)
Ekaterina I. Tolstaya, Ethan Stump, Alec Koppel, Alejandro Ribeiro
Composable Learning with Sparse Kernel Representations. IROS (2018)