Andrew Silva
Orcid: 0000-0002-0317-5135
According to our database1,
Andrew Silva
authored at least 28 papers
between 2005 and 2024.
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Bibliography
2024
Dreaming to Assist: Learning to Align with Human Objectives for Shared Control in High-Speed Racing.
CoRR, 2024
Towards Balancing Preference and Performance through Adaptive Personalized Explainability.
Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024
2023
Natural Language Specification of Reinforcement Learning Policies Through Differentiable Decision Trees.
IEEE Robotics Autom. Lett., June, 2023
Explainable Artificial Intelligence: Evaluating the Objective and Subjective Impacts of xAI on Human-Agent Interaction.
Int. J. Hum. Comput. Interact., April, 2023
FedPerC: Federated Learning for Language Generation with Personal and Context Preference Embeddings.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
2022
LanCon-Learn: Learning With Language to Enable Generalization in Multi-Task Manipulation.
IEEE Robotics Autom. Lett., 2022
FedPC: Federated Learning for Language Generation with Personal and Context Preference Embeddings.
CoRR, 2022
CoRR, 2022
Multi-UAV planning for cooperative wildfire coverage and tracking with quality-of-service guarantees.
Auton. Agents Multi Agent Syst., 2022
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
CoRR, 2021
Towards a Comprehensive Understanding and Accurate Evaluation of Societal Biases in Pre-Trained Transformers.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
CoRR, 2020
Interpretable and Personalized Apprenticeship Scheduling: Learning Interpretable Scheduling Policies from Heterogeneous User Demonstrations.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Optimization Methods for Interpretable Differentiable Decision Trees Applied to Reinforcement Learning.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
ProLoNets: Neural-encoding Human Experts' Domain Knowledge to Warm Start Reinforcement Learning.
CoRR, 2019
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019
2018
ACM Trans. Hum. Robot Interact., 2018
2005
IEICE Trans. Inf. Syst., 2005