Daniel Scott

15 papers A* 2Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Robust optimal design of sustainable aviation fuel supply chain.
Comput. Ind. Eng.
Ali Keyvandarian, Mehrdad Pirnia, Daniel Scott
2025 — conf
LAW: Legal Agentic Workflows for Custody and Fund Services Contracts.
COLING (Industry)
William Watson, Nicole Cho, Nishan Srishankar, Zhen Zeng, Lucas Cecchi, Daniel Scott, Suchetha Siddagangappa, Rachneet Kaur, Tucker Balch, Manuela Veloso
2025 J jnl
Results of the NeurIPS 2023 Neural MMO Competition on Multi-task Reinforcement Learning.
CoRR
Joseph Suárez, Kyoung Whan Choe, David Bloomin, Jianming Gao, Yunkun Li, Yao Feng, Saidinesh Pola, Kun Zhang, Yonghui Zhu, Nikhil Pinnaparaju, Hao Xiang Li, Nishaanth Kanna, Daniel Scott, Ryan Sullivan, Rose S. Shuman, Lucas de Alcântara, Herbie Bradley, Kirsty You, Bo Wu, Yuhao Jiang, Qimai Li, Jiaxin Chen, Louis Castricato, Xiaolong Zhu, Phillip Isola
2024 J jnl
Adaptive and Robust Watermark for Generative Tabular Data.
CoRR
Dung Daniel T. Ngo, Daniel Scott, Saheed Obitayo, Vamsi K. Potluru, Manuela Veloso
2024 J jnl
LAW: Legal Agentic Workflows for Custody and Fund Services Contracts.
CoRR
William Watson, Nicole Cho, Nishan Srishankar, Zhen Zeng, Lucas Cecchi, Daniel Scott, Suchetha Siddagangappa, Rachneet Kaur, Tucker Balch, Manuela Veloso
2024 A* conf
Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy.
NeurIPS
Cameron Allen, Aaron Kirtland, Ruo Yu Tao, Sam Lobel, Daniel Scott, Nicholas Petrocelli, Omer Gottesman, Ronald Parr, Michael L. Littman, George Konidaris
2024 J jnl
Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy.
CoRR
Cameron Allen, Aaron Kirtland, Ruo Yu Tao, Sam Lobel, Daniel Scott, Nicholas Petrocelli, Omer Gottesman, Ronald Parr, Michael L. Littman, George Konidaris
2023 A* conf
Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning.
NeurIPS
Joseph Suarez, David Bloomin, Kyoung Whan Choe, Hao Xiang Li, Ryan Sullivan, Nishaanth Kanna, Daniel Scott, Rose S. Shuman, Herbie Bradley, Louis Castricato, Phillip Isola, ChengHui Yu, Yuhao Jiang, Qimai Li, Jiaxin Chen, Xiaolong Zhu
2023 J jnl
Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning.
CoRR
Joseph Suárez, Phillip Isola, Kyoung Whan Choe, David Bloomin, Hao Xiang Li, Nikhil Pinnaparaju, Nishaanth Kanna, Daniel Scott, Ryan Sullivan, Rose S. Shuman, Lucas de Alcântara, Herbie Bradley, Louis Castricato, Kirsty You, Yuhao Jiang, Qimai Li, Jiaxin Chen, Xiaolong Zhu
2023 — conf
The OpenELM Library: Leveraging Progress in Language Models for Novel Evolutionary Algorithms.
GPTP
Herbie Bradley, Honglu Fan, Theodoros Galanos, Ryan Zhou, Daniel Scott, Joel Lehman
2021 J jnl
Evaluation of Pre-Training with the da Vinci Skills Simulator on Motor Skill Acquisition in a Surgical Robotics Curriculum.
J. Medical Robotics Res.
Edoardo Battaglia, Bradly Mueller, Deborah Hogg, Robert Rege, Daniel Scott, Ann Majewicz Fey
2021 J jnl
Governance of flood risk data: A comparative analysis of government and insurance geospatial data for identifying properties at risk of flood.
Comput. Environ. Urban Syst.
Andrea Minano, Jason Thistlethwaite, Daniel Henstra, Daniel Scott
2020 J jnl
A Comparative Human-Centric Analysis of Virtual Reality and Dry Lab Training Tasks on the da Vinci Surgical Platform.
J. Medical Robotics Res.
Ziheng Wang, Michael Kasman, Marco A. Martinez, Robert Rege, Herbert Zeh, Daniel Scott, Ann Majewicz Fey
2018 — conf
The London Soundmap: Integrating sonic interaction design in the urban realm.
Audio Mostly Conference
Sara Adhitya, Daniel Scott
2003 — conf
Applying Genetic Algorithms to Container Transhipment.
ICANNGA
Colin R. Reeves, Daniel Scott, Andy Harrison