Silva, Andrew

6 publications

ICLR 2025 ReGen: Generative Robot Simulation via Inverse Design Phat Tan Nguyen, Tsun-Hsuan Wang, Zhang-Wei Hong, Erfan Aasi, Andrew Silva, Guy Rosman, Sertac Karaman, Daniela Rus

CoRL 2024 Dreaming to Assist: Learning to Align with Human Objectives for Shared Control in High-Speed Racing Jonathan DeCastro, Andrew Silva, Deepak Gopinath, Emily Sumner, Thomas Matrai Balch, Laporsha Dees, Guy Rosman

AISTATS 2022 Cross-Loss Influence Functions to Explain Deep Network Representations Andrew Silva, Rohit Chopra, Matthew Gombolay

AAAI 2021 Encoding Human Domain Knowledge to Warm Start Reinforcement Learning Andrew Silva, Matthew C. Gombolay

NeurIPS 2020 Interpretable and Personalized Apprenticeship Scheduling: Learning Interpretable Scheduling Policies from Heterogeneous User Demonstrations Rohan Paleja, Andrew Silva, Letian Chen, Matthew Gombolay

AISTATS 2020 Optimization Methods for Interpretable Differentiable Decision Trees Applied to Reinforcement Learning Andrew Silva, Taylor Killian, Ivan Jimenez, Sung-Hyun Son, Matthew Gombolay