Ruohan Zhang

发表

Human Gaze Assisted Artificial Intelligence: A Review

Bo Liu, Dana H. Ballard, Scott Niekum, 2020, IJCAI.

Modeling human multitasking behavior in video games through modular reinforcement learning

Mary Hayhoe, Ruohan Zhang, Sihang Guo, 2020 .

Model Checking for Safe Navigation Among Humans

Sebastian Junges, Nils Jansen, Joost-Pieter Katoen, 2018, QEST.

Modeling sensory-motor decisions in natural behavior

Yuchen Cui, Mary M Hayhoe, Ruohan Zhang, 2018, bioRxiv.

Dual Decomposed Learning with Factorwise Oracle for Structural SVM of Large Output Domain

Pradeep Ravikumar, Inderjit S. Dhillon, Kai Zhong, 2016, NIPS.

Modeling sensory-motor decisions in natural behavior

Yuchen Cui, Dana H. Ballard, Mary Hayhoe, 2018 .

Modeling Sensorimotor Behavior through Modular Inverse Reinforcement Learning with Discount Factors

Dana H. Ballard, Mary Hayhoe, Ruohan Zhang, 2017 .

Action selection in modular reinforcement learning

Ruohan Zhang, 2014 .

Human versus Machine Attention in Deep Reinforcement Learning Tasks pdf

Yifeng Zhu, Bo Liu, Peter Stone, 2020, ArXiv.

Parallel Neural Multiprocessing with Gamma Frequency Latencies

Ruohan Zhang, Dana H. Ballard, D. Ballard, 2020, Neural Computation.

Global Policy Construction in Modular Reinforcement Learning

Dana H. Ballard, Zhao Song, Ruohan Zhang, 2015, AAAI.

Cortical Spikes use Analog Sparse Coding

Dana H. Ballard, Ruohan Zhang, D. Ballard, 2020, bioRxiv.

Efficiently Guiding Imitation Learning Algorithms with Human Gaze pdf

Scott Niekum, Ruohan Zhang, Akanksha Saran, 2020, ArXiv.

AGIL: Learning Attention from Human for Visuomotor Tasks pdf

Luxin Zhang, Dana H. Ballard, Ruohan Zhang, 2018, ECCV.

Participatory Art Museum: Collecting and Modeling Crowd Opinions

Ruohan Zhang, Xiaoyu Zeng, Ruohan Zhang, 2017, AAAI.

Attention Guided Imitation Learning and Reinforcement Learning

Ruohan Zhang, Ruohan Zhang, 2019, AAAI.

Leveraging Human Guidance for Deep Reinforcement Learning Tasks

Peter Stone, Lin Guan, Dana H. Ballard, 2019, IJCAI.

Decision-Making Policies for Heterogeneous Autonomous Multi-Agent Systems with Safety Constraints

Behçet Açikmese, Yue Yu, Dana H. Ballard, 2016, IJCAI.

Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset

Luxin Zhang, Lin Guan, Dana H. Ballard, 2019, ArXiv.

Greedy Direction Method of Multiplier for MAP Inference of Large Output Domain

Pradeep Ravikumar, Inderjit S. Dhillon, Qi-Xing Huang, 2017, AISTATS.

Multitask Human Navigation in VR with Motion Tracking

Shun Zhang, Dana H. Ballard, Mary Hayhoe, 2017 .

Learning Attention Model From Human for Visuomotor Tasks

Luxin Zhang, Dana H. Ballard, Ruohan Zhang, 2018, AAAI.

VisDrone-SOT2019: The Vision Meets Drone Single Object Tracking Challenge Results

Yong Wang, Wei Song, Josef Kittler, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

Cortical spike multiplexing using gamma frequency latencies

Dana H. Ballard, Ruohan Zhang, D. Ballard, 2018, bioRxiv.

Maximum Sustainable Yield Problem for Robot Foraging and Construction System

Zhao Song, Ruohan Zhang, Zhao Song, 2016, IJCAI.

An Initial Attempt of Combining Visual Selective Attention with Deep Reinforcement Learning pdf

Dana H. Ballard, Ruohan Zhang, Liu Yuezhang, 2018, ArXiv.

Fast and Precise Black and White Ball Detection for RoboCup Soccer

Peter Stone, Josiah Hanna, Ruohan Zhang, 2017, RoboCup.

The Seventh Visual Object Tracking VOT2019 Challenge Results

Zhenyu He, Li, Fahad Shahbaz Khan, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

UT Austin Villa: Project-Driven Research in AI and Robotics

Patrick MacAlpine, Peter Stone, Josiah Hanna, 2016, IEEE Intelligent Systems.

Recent advances in leveraging human guidance for sequential decision-making tasks

Peter Stone, Ruohan Zhang, Garrett Warnell, 2021, Autonomous Agents and Multi-Agent Systems.

A modular attention hypothesis for modeling visuomotor behaviors

Ruohan Zhang, 2021 .

Comparing Human and AI Attention in Visuomotor Tasks

Peter Stone, Mary Hayhoe, Ruohan Zhang, 2021, Journal of Vision.

Efficiently Guiding Imitation Learning Agents with Human Gaze

Scott Niekum, Ruohan Zhang, Akanksha Saran, 2020, AAMAS.

A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions pdf

Ruohan Zhang, Jiadi Yu, Tianzi Zang, 2021, ArXiv.

Visual Attention Guided Deep Imitation Learning

Dana H. Ballard, Ruohan Zhang, Mary M. Hayhoe, 2017 .

Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation

Mudit Verma, Lin Guan, Ruohan Zhang, 2020, NeurIPS.

Attention Guided Deep Imitation Learning

Dana H. Ballard, Ruohan Zhang, Mary M. Hayhoe, 2017 .