Amy Zhang

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

Bibliography

2024
Structure in Deep Reinforcement Learning: A Survey and Open Problems.
J. Artif. Intell. Res., 2024

Who Puts the "Social" in "Social Computing"?: Using A Neurodiversity Framing to Review Social Computing Research.
CoRR, 2024

CAT: Caution Aware Transfer in Reinforcement Learning via Distributional Risk.
CoRR, 2024

Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning.
CoRR, 2024

Fairness-Sensitive Policy-Gradient Reinforcement Learning for Reducing Bias in Robotic Assistance.
Proceedings of the 33rd IEEE International Conference on Robot and Human Interactive Communication, 2024

An investigation of time reversal symmetry in reinforcement learning.
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Zero-Shot Reinforcement Learning via Function Encoders.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Towards Robust Offline Reinforcement Learning under Diverse Data Corruption.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning.
J. Artif. Intell. Res., 2023

Dissecting IoT Device Provisioning Process.
CoRR, 2023

Structure in Reinforcement Learning: A Survey and Open Problems.
CoRR, 2023

Generalization Across Observation Shifts in Reinforcement Learning.
CoRR, 2023

Fairness-Sensitive Policy-Gradient Reinforcement Learning for Reducing Bias in Robotic Assistance.
CoRR, 2023

Confidence-aware 3D Gaze Estimation and Evaluation Metric.
CoRR, 2023

Provably Efficient Offline Goal-Conditioned Reinforcement Learning with General Function Approximation and Single-Policy Concentrability.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Contrastive Distillation Is a Sample-Efficient Self-Supervised Loss Policy for Transfer Learning.
CoRR, 2022

Predicting the Influence of Fake and Real News Spreaders (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A Survey of Generalisation in Deep Reinforcement Learning.
CoRR, 2021

2019
Whole genomes define concordance of matched primary, xenograft, and organoid models of pancreas cancer.
PLoS Comput. Biol., 2019

2018
A user-centered design and analysis of an electrostatic haptic touchscreen system for students with visual impairments.
Int. J. Hum. Comput. Stud., 2018

2013
Effects of peer feedback on contribution: a field experiment in Wikipedia.
Proceedings of the 2013 ACM SIGCHI Conference on Human Factors in Computing Systems, 2013

Using Machine Learning and HL7 LOINC DO for Classification of Clinical Documents.
Proceedings of the AMIA 2013, 2013

2010
Knowledge transmission and engineering teaching.
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.
Proceedings of the 26th IEEE International Conference on Distributed Computing Systems (ICDCS 2006), 2006


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