Andrew Silva
Cited by
Cited by
Action2vec: A crossmodal embedding approach to action learning
M Hahn, A Silva, JM Rehg
arXiv preprint arXiv:1901.00484, 2019
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
Methods and apparatus for vehicle operation analysis
T Innes, S Mitchell, S Naing, M O'donnell, A Silva
US Patent 10,189,479, 2019
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
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
Safe coordination of human-robot firefighting teams
E Seraj, A Silva, M Gombolay
arXiv preprint arXiv:1903.06847, 2019
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
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
Effects of interruptibility-aware robot behavior
S Banerjee, A Silva, K Feigh, S Chernova
arXiv preprint arXiv:1804.06383, 2018
Fedembed: Personalized private federated learning
A Silva, K Metcalf, N Apostoloff, BJ Theobald
arXiv preprint arXiv:2202.09472, 2022
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
Interpretable policy specification and synthesis through natural language and rl
P Tambwekar, A Silva, N Gopalan, MC Gombolay
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
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, 2022
Multimodal punctuation prediction with contextual dropout
A Silva, BJ Theobald, N Apostoloff
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
Specifying and Interpreting Reinforcement Learning Policies through Simulatable Machine Learning
P Tambwekar, A Silva, N Gopalan, M Gombolay
arXiv preprint arXiv:2101.07140, 2021
Unsupervised role discovery using temporal observations of agents
A Silva, S Chernova
Proceedings of the 18th International Conference on Autonomous Agents and …, 2019
Action2Vec: A Crossmodal Embedding Approach to Zero Shot Action Learning
M Hahn, A Silva, JM Reh
Computer Vision and Pattern Recognition (CVPR) 2018 Deep Vision Workshop, 0
Multi-UAV Planning for Cooperative Wildfire Coverage and Tracking with Quality-of-Service Guarantees
E Seraj, A Silva, M Gombolay
arXiv preprint arXiv:2206.10544, 2022
Learning Interpretable, High-Performing Policies for Autonomous Driving
R Paleja, Y Niu, A Silva, C Ritchie, S Choi, M Gombolay
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