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Andrew Silva
Andrew Silva
Research Scientist, Toyota Research Institute
Overená e-mailová adresa na: tri.global - Domovská stránka
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Citované v
Citované v
Rok
Optimization methods for interpretable differentiable decision trees applied to reinforcement learning
A Silva, M Gombolay, T Killian, I Jimenez, SH Son
International conference on artificial intelligence and statistics, 1855-1865, 2020
182*2020
Methods and apparatus for vehicle operation analysis
T Innes, S Mitchell, S Naing, M O'donnell, A Silva
US Patent 10,189,479, 2019
1032019
Towards a comprehensive understanding and accurate evaluation of societal biases in pre-trained transformers
A Silva, P Tambwekar, M Gombolay
Proceedings of the 2021 Conference of the North American Chapter of the …, 2021
752021
Action2vec: A crossmodal embedding approach to action learning
M Hahn, A Silva, JM Rehg
arXiv preprint arXiv:1901.00484, 2019
692019
Explainable artificial intelligence: Evaluating the objective and subjective impacts of xai on human-agent interaction
A Silva, M Schrum, E Hedlund-Botti, N Gopalan, M Gombolay
International Journal of Human–Computer Interaction 39 (7), 1390-1404, 2023
662023
Encoding human domain knowledge to warm start reinforcement learning
A Silva, M Gombolay
Proceedings of the AAAI conference on artificial intelligence 35 (6), 5042-5050, 2021
62*2021
Multi-UAV planning for cooperative wildfire coverage and tracking with quality-of-service guarantees
E Seraj, A Silva, M Gombolay
Autonomous Agents and Multi-Agent Systems 36 (2), 39, 2022
462022
Lancon-learn: Learning with language to enable generalization in multi-task manipulation
A Silva, N Moorman, W Silva, Z Zaidi, N Gopalan, M Gombolay
IEEE Robotics and Automation Letters 7 (2), 1635-1642, 2021
362021
Interpretable and personalized apprenticeship scheduling: Learning interpretable scheduling policies from heterogeneous user demonstrations
R Paleja, A Silva, L Chen, M Gombolay
Advances in neural information processing systems 33, 6417-6428, 2020
362020
Learning interpretable, high-performing policies for autonomous driving
R Paleja, Y Niu, A Silva, C Ritchie, S Choi, M Gombolay
arXiv preprint arXiv:2202.02352, 2022
212022
Safe coordination of human-robot firefighting teams
E Seraj, A Silva, M Gombolay
arXiv preprint arXiv:1903.06847, 2019
212019
Cross-loss influence functions to explain deep network representations
A Silva, R Chopra, M Gombolay
International Conference on Artificial Intelligence and Statistics, 1-17, 2022
152022
Natural language specification of reinforcement learning policies through differentiable decision trees
P Tambwekar, A Silva, N Gopalan, M Gombolay
IEEE Robotics and Automation Letters 8 (6), 3621-3628, 2023
142023
Robot classification of human interruptibility and a study of its effects
S Banerjee, A Silva, S Chernova
ACM Transactions on Human-Robot Interaction (THRI) 7 (2), 1-35, 2018
132018
Isotopic studies on N2-fixation in Azolla and the availability of its nitrogen to rice.
SA Kulasooriya, PRG Seneviratne, W Silva, SW Abeysekera, ...
121988
Fedembed: Personalized private federated learning
A Silva, K Metcalf, N Apostoloff, BJ Theobald
arXiv preprint arXiv:2202.09472, 2022
102022
Effects of interruptibility-aware robot behavior
S Banerjee, A Silva, K Feigh, S Chernova
arXiv preprint arXiv:1804.06383, 2018
102018
Towards balancing preference and performance through adaptive personalized explainability
A Silva, P Tambwekar, M Schrum, M Gombolay
Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot …, 2024
92024
Learning interpretable, high-performing policies for continuous control problems
R Paleja, Y Niu, A Silva, C Ritchie, S Choi, M Gombolay
arXiv preprint arXiv:2202.02352 10, 2022
62022
Multimodal punctuation prediction with contextual dropout
A Silva, BJ Theobald, N Apostoloff
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
62021
Systém momentálne nemôže vykonať operáciu. Skúste to neskôr.
Články 1–20