Ekaterina I. Tolstaya

20 papers A* 1A 4C 1Misc 3Journal 11

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