Andrew Silva

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 28

Top Topics

Reinforcement Learning

Optimization Methods

Top Venues

IEEE Robotics Autom. Lett.

Publications

Andrew Silva, Pradyumna Tambwekar, Mariah Schrum, Matthew C. Gombolay
Towards Balancing Preference and Performance through Adaptive Personalized Explainability. HRI (2024)
Rohan R. Paleja, Letian Chen, Yaru Niu, Andrew Silva, Zhaoxin Li, Songan Zhang, Chace Ritchie, Sugju Choi, Kimberlee Chestnut Chang, Hongtei Eric Tseng, Yan Wang, Subramanya Nageshrao, Matthew C. Gombolay
Interpretable Reinforcement Learning for Robotics and Continuous Control. CoRR (2023)
Andrew Silva, Pradyumna Tambwekar, Matthew C. Gombolay
FedPerC: Federated Learning for Language Generation with Personal and Context Preference Embeddings. EACL (Findings) (2023)
Andrew Silva, Mariah Schrum, Erin Hedlund-Botti, Nakul Gopalan, Matthew C. Gombolay
Explainable Artificial Intelligence: Evaluating the Objective and Subjective Impacts of xAI on Human-Agent Interaction. Int. J. Hum. Comput. Interact. 39 (7) (2023)
Pradyumna Tambwekar, Andrew Silva, Nakul Gopalan, Matthew C. Gombolay
Natural Language Specification of Reinforcement Learning Policies Through Differentiable Decision Trees. IEEE Robotics Autom. Lett. 8 (6) (2023)
Rohan R. Paleja, Yaru Niu, Andrew Silva, Chace Ritchie, Sugju Choi, Matthew C. Gombolay
Learning Interpretable, High-Performing Policies for Autonomous Driving. Robotics: Science and Systems (2022)
Andrew Silva, Pradyumna Tambwekar, Matthew C. Gombolay
FedPC: Federated Learning for Language Generation with Personal and Context Preference Embeddings. CoRR (2022)
Rohan R. Paleja, Yaru Niu, Andrew Silva, Chace Ritchie, Sugju Choi, Matthew C. Gombolay
Learning Interpretable, High-Performing Policies for Continuous Control Problems. CoRR (2022)
Andrew Silva, Rohit Chopra, Matthew C. Gombolay
Cross-Loss Influence Functions to Explain Deep Network Representations. AISTATS (2022)
Esmaeil Seraj, Andrew Silva, Matthew C. Gombolay
Multi-UAV Planning for Cooperative Wildfire Coverage and Tracking with Quality-of-Service Guarantees. CoRR (2022)
Andrew Silva, Katherine Metcalf, Nicholas Apostoloff, Barry-John Theobald
FedEmbed: Personalized Private Federated Learning. CoRR (2022)
Esmaeil Seraj, Andrew Silva, Matthew C. Gombolay
Multi-UAV planning for cooperative wildfire coverage and tracking with quality-of-service guarantees. Auton. Agents Multi Agent Syst. 36 (2) (2022)
Andrew Silva, Nina Moorman, William Silva, Zulfiqar Zaidi, Nakul Gopalan, Matthew C. Gombolay
LanCon-Learn: Learning With Language to Enable Generalization in Multi-Task Manipulation. IEEE Robotics Autom. Lett. 7 (2) (2022)
Andrew Silva, Matthew C. Gombolay
Encoding Human Domain Knowledge to Warm Start Reinforcement Learning. AAAI (2021)
Andrew Silva, Barry-John Theobald, Nicholas Apostoloff
Multimodal Punctuation Prediction with Contextual Dropout. CoRR (2021)
Andrew Silva, Barry-John Theobald, Nicholas Apostoloff
Multimodal Punctuation Prediction with Contextual Dropout. ICASSP (2021)
Andrew Silva, Pradyumna Tambwekar, Matthew C. Gombolay
Towards a Comprehensive Understanding and Accurate Evaluation of Societal Biases in Pre-Trained Transformers. NAACL-HLT (2021)
Pradyumna Tambwekar, Andrew Silva, Nakul Gopalan, Matthew C. Gombolay
Interpretable Policy Specification and Synthesis through Natural Language and RL. CoRR (2021)
Andrew Silva, Matthew C. Gombolay, Taylor W. Killian, Ivan Dario Jimenez Jimenez, Sung-Hyun Son
Optimization Methods for Interpretable Differentiable Decision Trees Applied to Reinforcement Learning. AISTATS (2020)
Rohan R. Paleja, Andrew Silva, Letian Chen, Matthew C. Gombolay
Interpretable and Personalized Apprenticeship Scheduling: Learning Interpretable Scheduling Policies from Heterogeneous User Demonstrations. NeurIPS (2020)
Andrew Silva, Rohit Chopra, Matthew C. Gombolay
Using Cross-Loss Influence Functions to Explain Deep Network Representations. CoRR (2020)
Andrew Silva, Sonia Chernova
Unsupervised Role Discovery Using Temporal Observations of Agents. AAMAS (2019)
Meera Hahn, Andrew Silva, James M. Rehg
Action2Vec: A Crossmodal Embedding Approach to Action Learning. CoRR (2019)
Andrew Silva, Matthew C. Gombolay
ProLoNets: Neural-encoding Human Experts' Domain Knowledge to Warm Start Reinforcement Learning. CoRR (2019)
Rohan R. Paleja, Andrew Silva, Matthew C. Gombolay
Personalized Apprenticeship Learning from Heterogeneous Decision-Makers. CoRR (2019)
Esmaeil Seraj, Andrew Silva, Matthew C. Gombolay
Safe Coordination of Human-Robot Firefighting Teams. CoRR (2019)
Siddhartha Banerjee, Andrew Silva, Sonia Chernova
Robot Classification of Human Interruptibility and a Study of Its Effects. ACM Trans. Hum. Robot Interact. 7 (2) (2018)
Siddhartha Banerjee, Andrew Silva, Karen M. Feigh, Sonia Chernova
Effects of Interruptibility-Aware Robot Behavior. CoRR (2018)
Jessi E. Johnson, Andrew Silva, George R. Branner
Analysis of Nonlinear Input Impedance Matching in Active Frequency Multipliers. IEICE Trans. Inf. Syst. (7) (2005)