Search Results - "Perrault, Andrew" :: K.UTB vyhledávací portál | TBU Library Retrieval Portal

Modeling between-population variation in COVID-19 dynamics in Hubei, Lombardy, and New York City

Modeling between-population variation in COVID-19 dynamics in Hubei, Lombardy, and New York City

by Wilder, Bryan, Charpignon, Marie, Killian, Jackson A., Ou, Han-Ching, Mate, Aditya, Jabbari, Shahin, Perrault, Andrew, Desai, Angel N., Tambe, Milind, Majumder, Maimuna S.
Published in Proceedings of the National Academy of Sciences - PNAS (13.10.2020)

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Journal Article

Multiple-Profile Prediction-of-Use Games

by Perrault, Andrew, Boutilier, Craig
Published in Autonomous Agents and Multiagent Systems (2017)

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Book Chapter

Artificial Intelligence for Social Impact: Learning and Planning in the Data‐to‐Deployment Pipeline

Artificial Intelligence for Social Impact: Learning and Planning in the Data‐to‐Deployment Pipeline

by Perrault, Andrew, Fang, Fei, Sinha, Arunesh, Tambe, Milind
Published in The AI magazine (22.12.2020)

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Journal Article

On-farm cereal rye biomass estimation using machine learning on images from an unmanned aerial system

On-farm cereal rye biomass estimation using machine learning on images from an unmanned aerial system

by KC, Kushal, Romanko, Matthew, Perrault, Andrew, Khanal, Sami
Published in Precision agriculture (01.10.2024)

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Journal Article

Symmetric Reinforcement Learning Loss for Robust Learning on Diverse Tasks and Model Scales

Symmetric Reinforcement Learning Loss for Robust Learning on Diverse Tasks and Model Scales

by Byun, Ju-Seung, Perrault, Andrew
Year of Publication 27.05.2024

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Journal Article

Normality-Guided Distributional Reinforcement Learning for Continuous Control

Normality-Guided Distributional Reinforcement Learning for Continuous Control

by Byun, Ju-Seung, Perrault, Andrew
Year of Publication 27.08.2022

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Journal Article

The Distributional Reward Critic Architecture for Perturbed-Reward Reinforcement Learning

The Distributional Reward Critic Architecture for Perturbed-Reward Reinforcement Learning

by Chen, Xi, Zhu, Zhihui, Perrault, Andrew
Year of Publication 11.01.2024

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Journal Article

Coevolutionary Algorithm for Building Robust Decision Trees under Minimax Regret

Coevolutionary Algorithm for Building Robust Decision Trees under Minimax Regret

by Żychowski, Adam, Perrault, Andrew, Mańdziuk, Jacek
Year of Publication 14.12.2023

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Journal Article

Training Transition Policies via Distribution Matching for Complex Tasks

Training Transition Policies via Distribution Matching for Complex Tasks

by Byun, Ju-Seung, Perrault, Andrew
Year of Publication 08.10.2021

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Journal Article

ARES: Alternating Reinforcement Learning and Supervised Fine-Tuning for Enhanced Multi-Modal Chain-of-Thought Reasoning Through Diverse AI Feedback

ARES: Alternating Reinforcement Learning and Supervised Fine-Tuning for Enhanced Multi-Modal Chain-of-Thought Reasoning Through Diverse AI Feedback

by Byun, Ju-Seung, Chun, Jiyun, Kil, Jihyung, Perrault, Andrew
Year of Publication 25.06.2024

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Journal Article

Reinforcement Learning for Fine-tuning Text-to-speech Diffusion Models

Reinforcement Learning for Fine-tuning Text-to-speech Diffusion Models

by Chen, Jingyi, Byun, Ju-Seung, Elsner, Micha, Perrault, Andrew
Year of Publication 23.05.2024

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Journal Article

Leaving the Nest: Going Beyond Local Loss Functions for Predict-Then-Optimize

Leaving the Nest: Going Beyond Local Loss Functions for Predict-Then-Optimize

by Shah, Sanket, Perrault, Andrew, Wilder, Bryan, Tambe, Milind
Year of Publication 26.05.2023

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Journal Article

Normality-Guided Distributional Reinforcement Learning for Continuous Control

Normality-Guided Distributional Reinforcement Learning for Continuous Control

by Ju-Seung Byun, Perrault, Andrew
Published in arXiv.org (17.01.2024)

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Paper

AI for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline

AI for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline

by Perrault, Andrew, Fang, Fei, Sinha, Arunesh, Tambe, Milind
Published in arXiv.org (12.06.2022)

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Paper Journal Article

Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses

Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses

by Shah, Sanket, Wang, Kai, Wilder, Bryan, Perrault, Andrew, Tambe, Milind
Year of Publication 30.03.2022

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Journal Article

The Distributional Reward Critic Architecture for Perturbed-Reward Reinforcement Learning

The Distributional Reward Critic Architecture for Perturbed-Reward Reinforcement Learning

by Chen, Xi, Zhu, Zhihui, Perrault, Andrew
Published in arXiv.org (11.01.2024)

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Paper

Coevolutionary Algorithm for Building Robust Decision Trees under Minimax Regret

Coevolutionary Algorithm for Building Robust Decision Trees under Minimax Regret

by Żychowski, Adam, Perrault, Andrew, Mańdziuk, Jacek
Published in arXiv.org (14.12.2023)

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Paper

Training Transition Policies via Distribution Matching for Complex Tasks

Training Transition Policies via Distribution Matching for Complex Tasks

by Ju-Seung Byun, Perrault, Andrew
Published in arXiv.org (11.03.2022)

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Paper

Robust Reinforcement Learning Under Minimax Regret for Green Security

Robust Reinforcement Learning Under Minimax Regret for Green Security

by Xu, Lily, Perrault, Andrew, Fang, Fei, Chen, Haipeng, Tambe, Milind
Year of Publication 15.06.2021

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Journal Article

ARES: Alternating Reinforcement Learning and Supervised Fine-Tuning for Enhanced Multi-Modal Chain-of-Thought Reasoning Through Diverse AI Feedback

ARES: Alternating Reinforcement Learning and Supervised Fine-Tuning for Enhanced Multi-Modal Chain-of-Thought Reasoning Through Diverse AI Feedback

by Ju-Seung Byun, Chun, Jiyun, Kil, Jihyung, Perrault, Andrew
Published in arXiv.org (03.10.2024)

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Paper

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