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ORCIDKate Tolstaya
Person information
- affiliation: Waymo LLC
- affiliation (PhD 2021): University of Pennsylvania, Department of Electrical and Systems Engineering, Philadelphia, PA, USA
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2020 – today
- 2022
[j1]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: 1932-1946 (2022)- 2021
- [c9]Fernando Gama, Ekaterina I. Tolstaya, Alejandro Ribeiro:
Graph Neural Networks for Decentralized Controllers. ICASSP 2021: 5260-5264 - [c8]Ekaterina I. Tolstaya, Reza Mahjourian, Carlton Downey, Balakrishnan Varadarajan, Benjamin Sapp, Dragomir Anguelov:
Identifying Driver Interactions via Conditional Behavior Prediction. ICRA 2021: 3473-3479 - [c7]Ekaterina I. Tolstaya, Landon Butler, Daniel Mox, James Paulos, Vijay Kumar, Alejandro Ribeiro:
Learning Connectivity for Data Distribution in Robot Teams. IROS 2021: 413-420 - [c6]Ekaterina I. Tolstaya, James Paulos, Vijay Kumar, Alejandro Ribeiro:
Multi-Robot Coverage and Exploration using Spatial Graph Neural Networks. IROS 2021: 8944-8950 - [i10]Ekaterina I. Tolstaya, Landon Butler, Daniel Mox, James Paulos, Vijay Kumar, Alejandro Ribeiro:
Learning Connectivity for Data Distribution in Robot Teams. CoRR abs/2103.05091 (2021) - [i9]Ekaterina I. Tolstaya, Ethan Stump, Alec Koppel, Alejandro Ribeiro:
Composable Learning with Sparse Kernel Representations. CoRR abs/2103.14474 (2021) - [i8]Ekaterina I. Tolstaya, Reza Mahjourian, Carlton Downey, Balakrishnan Varadarajan, Benjamin Sapp, Dragomir Anguelov:
Identifying Driver Interactions via Conditional Behavior Prediction. CoRR abs/2104.09959 (2021) - 2020
- [i7]Fernando Gama, Ekaterina I. Tolstaya, Alejandro Ribeiro:
Graph Neural Networks for Decentralized Controllers. CoRR abs/2003.10280 (2020) - [i6]Ekaterina I. Tolstaya, James Paulos, Vijay Kumar, Alejandro Ribeiro:
Multi-Robot Coverage and Exploration using Spatial Graph Neural Networks. CoRR abs/2011.01119 (2020) - [i5]Fernando Gama, Qingbiao Li, Ekaterina I. Tolstaya, Amanda Prorok, Alejandro Ribeiro:
Decentralized Control with Graph Neural Networks. CoRR abs/2012.14906 (2020)
2010 – 2019
- 2019
- [c5]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: 671-682 - [c4]Arbaaz Khan, Ekaterina I. Tolstaya, Alejandro Ribeiro, Vijay Kumar:
Graph Policy Gradients for Large Scale Robot Control. CoRL 2019: 823-834 - [c3]Ekaterina I. Tolstaya, Alejandro Ribeiro, Vijay Kumar, Ashish Kapoor:
Inverse Optimal Planning for Air Traffic Control. IROS 2019: 7535-7542 - [i4]Ekaterina I. Tolstaya, Alejandro Ribeiro, Vijay Kumar, Ashish Kapoor:
Inverse Optimal Planning for Air Traffic Control. CoRR abs/1903.10525 (2019) - [i3]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 abs/1903.10527 (2019) - [i2]Arbaaz Khan, Ekaterina I. Tolstaya, Alejandro Ribeiro, Vijay Kumar:
Graph Policy Gradients for Large Scale Robot Control. CoRR abs/1907.03822 (2019) - 2018
- [c2]Ekaterina I. Tolstaya, Alec Koppel, Ethan Stump, Alejandro Ribeiro:
Nonparametric Stochastic Compositional Gradient Descent for Q-Learning in Continuous Markov Decision Problems. ACC 2018: 6608-6615 - [c1]Ekaterina I. Tolstaya, Ethan Stump, Alec Koppel, Alejandro Ribeiro:
Composable Learning with Sparse Kernel Representations. IROS 2018: 4622-4628 - [i1]Alec Koppel, Ekaterina I. Tolstaya, Ethan Stump, Alejandro Ribeiro:
Nonparametric Stochastic Compositional Gradient Descent for Q-Learning in Continuous Markov Decision Problems. CoRR abs/1804.07323 (2018)
Coauthor Index
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