Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Jun Luo

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

LISPR: An Options Framework for Policy Reuse with Reinforcement Learning


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


  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Affordance as general value function: A computational model


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


  Access Paper or Ask Questions

Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder


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

* CVPR 2020 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

Adaptive Hierarchical Down-Sampling for Point Cloud Classification


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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions