Amy Zhang

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026

Reinforcement Learning via Value Gradient Flow.

[BibT_eX]

[DOI]

CoRR, April, 2026

Filtered Reasoning Score: Evaluating Reasoning Quality on a Model's Most-Confident Traces.

[BibT_eX]

[DOI]

CoRR, April, 2026

The PokeAgent Challenge: Competitive and Long-Context Learning at Scale.

[BibT_eX]

[DOI]

CoRR, March, 2026

A Recipe for Stable Offline Multi-agent Reinforcement Learning.

[BibT_eX]

[DOI]

Dongsu Lee

Daehee Lee

Amy Zhang

CoRR, March, 2026

Self-Refining Vision Language Model for Robotic Failure Detection and Reasoning.

[BibT_eX]

[DOI]

CoRR, February, 2026

Learning Robust Reasoning through Guided Adversarial Self-Play.

[BibT_eX]

[DOI]

Hossein Nourkhiz Mahjoub

CoRR, February, 2026

CARE-RFT: Confidence-Anchored Reinforcement Finetuning for Reliable Reasoning in Large Language Models.

[BibT_eX]

[DOI]

CoRR, February, 2026

2025

Multi-agent Coordination via Flow Matching.

[BibT_eX]

[DOI]

Dongsu Lee

Daehee Lee

Amy Zhang

CoRR, November, 2025

Learning to Interact in World Latent for Team Coordination.

[BibT_eX]

[DOI]

CoRR, September, 2025

Efficient RL for optimizing conversation level outcomes with an LLM-based tutor.

[BibT_eX]

[DOI]

CoRR, July, 2025

ExPO: Unlocking Hard Reasoning with Self-Explanation-Guided Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, July, 2025

Approximate Cross-Validated Mean Estimates for Bayesian Hierarchical Regression Models.

[BibT_eX]

[DOI]

J. Comput. Graph. Stat., 2025

2024

Fairness-Sensitive Policy-Gradient Reinforcement Learning for Reducing Bias in Robotic Assistance.

[BibT_eX]

[DOI]

Proceedings of the 33rd IEEE International Conference on Robot and Human Interactive Communication, 2024

2023

Dissecting IoT Device Provisioning Process.

[BibT_eX]

[DOI]

CoRR, 2023

Fairness-Sensitive Policy-Gradient Reinforcement Learning for Reducing Bias in Robotic Assistance.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Predicting the Influence of Fake and Real News Spreaders (Student Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Approximate Cross-validated Mean Estimates for Bayesian Hierarchical Regression Models.

[BibT_eX]

[DOI]

Amy Zhang

Le Bao

Michael J. Daniels

CoRR, 2020

2019

Whole genomes define concordance of matched primary, xenograft, and organoid models of pancreas cancer.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2019

2018

A user-centered design and analysis of an electrostatic haptic touchscreen system for students with visual impairments.

[BibT_eX]

[DOI]

Int. J. Hum. Comput. Stud., 2018

2013

Using Machine Learning and HL7 LOINC DO for Classification of Clinical Documents.

[BibT_eX]

[DOI]

Adithya Renduchintala

Amy Zhang

Thomas Polzin

Gilan Saawadi

Proceedings of the AMIA 2013, 2013

2010

Knowledge transmission and engineering teaching.

[BibT_eX]

[DOI]

Amy Zhang

Monica Cardella

Proceedings of the Learning in the Disciplines: Proceedings of the 9th International Conference of the Learning Sciences, 2010

2006

Improving Traffic Locality in BitTorrent via Biased Neighbor Selection.

[BibT_eX]

[DOI]

Proceedings of the 26th IEEE International Conference on Distributed Computing Systems (ICDCS 2006), 2006

Amy Zhang

Bibliography

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