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Multi-lane Cruising Using Hierarchical Planning and Reinforcement Learning

Oct 01, 2021
Kasra Rezaee, Peyman Yadmellat, Masoud S. Nosrati, Elmira Amirloo Abolfathi, Mohammed Elmahgiubi, Jun Luo

* Paper presented at the IEEE Intelligent Transportation Systems Conference (ITSC) 2019 

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Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment

Jun 03, 2021
Tianze Zhou, Fubiao Zhang, Kun Shao, Kai Li, Wenhan Huang, Jun Luo, Weixun Wang, Yaodong Yang, Hangyu Mao, Bin Wang, Dong Li, Wulong Liu, Jianye Hao

* 12 pages, 9 figures 

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Probing the Effect of Selection Bias on NN Generalization with a Thought Experiment

May 20, 2021
John K. Tsotsos, Jun Luo

* 24 pages, 6 figures 

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PURE: Passive mUlti-peRson idEntification via Deep Footstep Separation and Recognition

Apr 15, 2021
Chao Cai, Ruinan Jin, Peng Wang, Liyuan Ye, Hongbo Jiang, Jun Luo

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Learning robust driving policies without online exploration

Mar 15, 2021
Daniel Graves, Nhat M. Nguyen, Kimia Hassanzadeh, Jun Jin, Jun Luo

* Accepted in ICRA 2021. Due to format limitations of ICRA, we include appendix of our detailed evaluation results in this full version. arXiv admin note: substantial text overlap with arXiv:2006.15110 

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Open-set Intersection Intention Prediction for Autonomous Driving

Mar 09, 2021
Fei Li, Xiangxu Li, Jun Luo, Shiwei Fan, Hongbo Zhang

* Accepted by ICRA, 2021 

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Self-Supervised Simultaneous Multi-Step Prediction of Road Dynamics and Cost Map

Mar 01, 2021
Elmira Amirloo, Mohsen Rohani, Ershad Banijamali, Jun Luo, Pascal Poupart

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Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems

Feb 16, 2021
Yaodong Yang, Jun Luo, Ying Wen, Oliver Slumbers, Daniel Graves, Haitham Bou Ammar, Jun Wang, Matthew E. Taylor

* AAMAS 2021 

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CoachNet: An Adversarial Sampling Approach for Reinforcement Learning

Jan 07, 2021
Elmira Amirloo Abolfathi, Jun Luo, Peyman Yadmellat, Kasra Rezaee

* NeurIPS2019 Workshop on Safety and Robustness in Decision Making 

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LISPR: An Options Framework for Policy Reuse with Reinforcement Learning

Dec 29, 2020
Daniel Graves, Jun Jin, Jun Luo

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Prediction by Anticipation: An Action-Conditional Prediction Method based on Interaction Learning

Dec 25, 2020
Ershad Banijamali, Mohsen Rohani, Elmira Amirloo, Jun Luo, Pascal Poupart

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PePScenes: A Novel Dataset and Baseline for Pedestrian Action Prediction in 3D

Dec 14, 2020
Amir Rasouli, Tiffany Yau, Peter Lakner, Saber Malekmohammadi, Mohsen Rohani, Jun Luo

* 1 Figure, 2 Table. ML4AD at NeurIPS, 2020 

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Pedestrian Behavior Prediction via Multitask Learning and Categorical Interaction Modeling

Dec 06, 2020
Amir Rasouli, Mohsen Rohani, Jun Luo

* 11 pages; 4 Figures; 4 tables 

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Graph-SIM: A Graph-based Spatiotemporal Interaction Modelling for Pedestrian Action Prediction

Dec 03, 2020
Tiffany Yau, Saber Malekmohammadi, Amir Rasouli, Peter Lakner, Mohsen Rohani, Jun Luo

* 7 pages, 3 figures, 4 tables, submitted to ICRA 2021 

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Multi-Modal Hybrid Architecture for Pedestrian Action Prediction

Nov 16, 2020
Amir Rasouli, Tiffany Yau, Mohsen Rohani, Jun Luo

* 7 pages, 4 Figures, 3 tables, submitted to ICRA 2021 

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Offline Learning of Counterfactual Perception as Prediction for Real-World Robotic Reinforcement Learning

Nov 11, 2020
Jun Jin, Daniel Graves, Cameron Haigh, Jun Luo, Martin Jagersand

* submitted to ICRA 2021 

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SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving

Nov 01, 2020
Ming Zhou, Jun Luo, Julian Villella, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Aurora Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Dong Chen, Zhengbang Zhu, Nhat Nguyen, Mohamed Elsayed, Kun Shao, Sanjeevan Ahilan, Baokuan Zhang, Jiannan Wu, Zhengang Fu, Kasra Rezaee, Peyman Yadmellat, Mohsen Rohani, Nicolas Perez Nieves, Yihan Ni, Seyedershad Banijamali, Alexander Cowen Rivers, Zheng Tian, Daniel Palenicek, Haitham bou Ammar, Hongbo Zhang, Wulong Liu, Jianye Hao, Jun Wang

* 20 pages, 11 figures. Paper accepted to CoRL 2020 

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Affordance as general value function: A computational model

Oct 27, 2020
Daniel Graves, Johannes Günther, Jun Luo

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Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder

May 06, 2020
Guanlin Li, Shuya Ding, Jun Luo, Chang Liu

* CVPR 2020 

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Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning

Dec 03, 2019
Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao

* accepted as a regular paper with oral presentation @ AAAI20 

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Reward Advancement: Transforming Policy under Maximum Causal Entropy Principle

Jul 11, 2019
Guojun Wu, Yanhua Li, Zhenming Liu, Jie Bao, Yu Zheng, Jieping Ye, Jun Luo

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Adaptive Hierarchical Down-Sampling for Point Cloud Classification

Apr 11, 2019
Ehsan Nezhadarya, Ehsan Taghavi, Bingbing Liu, Jun Luo

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A Novel Method for Extrinsic Calibration of Multiple RGB-D Cameras Using Descriptor-Based Patterns

Sep 10, 2018
Hang Liu, Hengyu Li, Xiahua Liu, Jun Luo, Shaorong Xie, Yu Sun

* 6 pages, 7 figures, under review by IEEE Robotics and Automation Letters & ICRA 

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Construction of all-in-focus images assisted by depth sensing

Jun 05, 2018
Hang Liu, Hengyu Li, Jun Luo, Shaorong Xie, Yu Sun

* 18 pages. This paper has been submitted to Computer Vision and Image Understanding 

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