Jun Luo - RankMe

51 papers A* 10A 4C 1Misc 1Journal 33Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Reinitializing weights vs units for maintaining plasticity in neural networks. CoRR J. Fernando Hernandez-Garcia, Shibhansh Dohare, Jun Luo, Richard S. Sutton
2024	J	`jnl`	Label Alignment Regularization for Distribution Shift. J. Mach. Learn. Res. Ehsan Imani, Guojun Zhang, Runjia Li, Jun Luo, Pascal Poupart, Philip H. S. Torr, Yangchen Pan
2023	—	`conf`	Auxiliary task discovery through generate-and-test. CoLLAs Banafsheh Rafiee, Sina Ghiassian, Jun Jin, Richard S. Sutton, Jun Luo, Adam White
2023	A	`conf`	Dynamic Decision Frequency with Continuous Options. IROS Amirmohammad Karimi, Jun Jin, Jun Luo, A. Rupam Mahmood, Martin Jägersand, Samuele Tosatto
2023	J	`jnl`	Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation. Trans. Mach. Learn. Res. Qingfeng Lan, Yangchen Pan, Jun Luo, A. Rupam Mahmood
2023	J	`jnl`	Reinforcement Teaching. Trans. Mach. Learn. Res. Calarina Muslimani, Alex Lewandowski, Dale Schuurmans, Matthew E. Taylor, Jun Luo
2022	A*	`conf`	A Simple Decentralized Cross-Entropy Method. NeurIPS Zichen Zhang, Jun Jin, Martin Jägersand, Jun Luo, Dale Schuurmans
2022	J	`jnl`	A Simple Decentralized Cross-Entropy Method. CoRR Zichen Zhang, Jun Jin, Martin Jägersand, Jun Luo, Dale Schuurmans
2022	J	`jnl`	Affordance as general value function: a computational model. Adapt. Behav. Daniel Graves, Johannes Günther, Jun Luo
2022	J	`jnl`	Auxiliary task discovery through generate-and-test. CoRR Banafsheh Rafiee, Sina Ghiassian, Jun Jin, Richard S. Sutton, Jun Luo, Adam White
2022	J	`jnl`	Build generally reusable agent-environment interaction models. CoRR Jun Jin, Hongming Zhang, Jun Luo
2022	J	`jnl`	Drawing Inductor Layout with a Reinforcement Learning Agent: Method and Application for VCO Inductors. CoRR Cameron Haigh, Zichen Zhang, Negar Hassanpour, Khurram Javed, Yingying Fu, Shayan Shahramian, Shawn Zhang, Jun Luo
2022	J	`jnl`	Label Alignment Regularization for Distribution Shift. CoRR Ehsan Imani, Guojun Zhang, Jun Luo, Pascal Poupart, Yangchen Pan
2022	J	`jnl`	LatentFormer: Multi-Agent Transformer-Based Interaction Modeling and Trajectory Prediction. CoRR Elmira Amirloo Abolfathi, Amir Rasouli, Peter Lakner, Mohsen Rohani, Jun Luo
2022	J	`jnl`	Memory-efficient Reinforcement Learning with Knowledge Consolidation. CoRR Qingfeng Lan, Yangchen Pan, Jun Luo, A. Rupam Mahmood
2022	C	`conf`	Multi-Modal Hybrid Architecture for Pedestrian Action Prediction. IV Amir Rasouli, Tiffany Yau, Mohsen Rohani, Jun Luo
2022	A	`conf`	Multiagent Q-learning with Sub-Team Coordination. AAMAS Wenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Jun Luo, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang, Xiaotie Deng
2022	A*	`conf`	Multiagent Q-learning with Sub-Team Coordination. NeurIPS Wenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Matthew E. Taylor, Jun Luo, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang, Xiaotie Deng
2022	J	`jnl`	NeurIPS 2022 Competition: Driving SMARTS. CoRR Amir Rasouli, Randy Goebel, Matthew E. Taylor, Iuliia Kotseruba, Soheil Alizadeh, Tianpei Yang, Montgomery Alban, Florian Shkurti, Yuzheng Zhuang, Adam Scibior, Kasra Rezaee, Animesh Garg, David Meger, Jun Luo, Liam Paull, Weinan Zhang, Xinyu Wang, Xi Chen
2022	A*	`conf`	Offline Learning of Counterfactual Predictions for Real-World Robotic Reinforcement Learning. ICRA Jun Jin, Daniel Graves, Cameron Haigh, Jun Luo, Martin Jägersand
2022	J	`jnl`	Reinforcement Teaching. CoRR Alex Lewandowski, Calarina Muslimani, Matthew E. Taylor, Jun Luo, Dale Schuurmans
2022	A	`conf`	Understanding and mitigating the limitations of prioritized experience replay. UAI Yangchen Pan, Jincheng Mei, Amir-massoud Farahmand, Martha White, Hengshuai Yao, Mohsen Rohani, Jun Luo
2022	J	`jnl`	Variable-Decision Frequency Option Critic. CoRR Amirmohammad Karimi, Jun Jin, Jun Luo, A. Rupam Mahmood, Martin Jägersand, Samuele Tosatto
2022	J	`jnl`	What makes useful auxiliary tasks in reinforcement learning: investigating the effect of the target policy. CoRR Banafsheh Rafiee, Jun Jin, Jun Luo, Adam White
2021	A*	`conf`	Bifold and Semantic Reasoning for Pedestrian Behavior Prediction. ICCV Amir Rasouli, Mohsen Rohani, Jun Luo
2021	J	`jnl`	CoachNet: An Adversarial Sampling Approach for Reinforcement Learning. CoRR Elmira Amirloo Abolfathi, Jun Luo, Peyman Yadmellat, Kasra Rezaee
2021	J	`jnl`	Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment. CoRR 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
2021	A	`conf`	Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems. AAMAS Yaodong Yang, Jun Luo, Ying Wen, Oliver Slumbers, Daniel Graves, Haitham Bou-Ammar, Jun Wang, Matthew E. Taylor
2021	J	`jnl`	Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems. CoRR Yaodong Yang, Jun Luo, Ying Wen, Oliver Slumbers, Daniel Graves, Haitham Bou-Ammar, Jun Wang, Matthew E. Taylor
2021	A*	`conf`	Graph-SIM: A Graph-based Spatiotemporal Interaction Modelling for Pedestrian Action Prediction. ICRA Tiffany Yau, Saber Malekmohammadi, Amir Rasouli, Peter Lakner, Mohsen Rohani, Jun Luo
2021	A*	`conf`	Learning robust driving policies without online exploration. ICRA Daniel Graves, Nhat M. Nguyen, Kimia Hassanzadeh, Jun Jin, Jun Luo
2021	J	`jnl`	Learning robust driving policies without online exploration. CoRR Daniel Graves, Nhat M. Nguyen, Kimia Hassanzadeh, Jun Jin, Jun Luo
2021	J	`jnl`	Multi-lane Cruising Using Hierarchical Planning and Reinforcement Learning. CoRR Kasra Rezaee, Peyman Yadmellat, Masoud S. Nosrati, Elmira Amirloo Abolfathi, Mohammed Elmahgiubi, Jun Luo
2021	A*	`conf`	Open-set Intersection Intention Prediction for Autonomous Driving. ICRA Fei Li, Xiangxu Li, Jun Luo, Shiwei Fan, Hongbo Zhang
2021	J	`jnl`	Open-set Intersection Intention Prediction for Autonomous Driving. CoRR Fei Li, Xiangxu Li, Jun Luo, Shiwei Fan, Hongbo Zhang
2021	A*	`conf`	Prediction by Anticipation: An Action-Conditional Prediction Method based on Interaction Learning. ICCV Ershad Banijamali, Mohsen Rohani, Elmira Amirloo Abolfathi, Jun Luo, Pascal Poupart
2021	A*	`conf`	Self-Supervised Simultaneous Multi-Step Prediction of Road Dynamics and Cost Map. CVPR Elmira Amirloo Abolfathi, Mohsen Rohani, Ershad Banijamali, Jun Luo, Pascal Poupart
2021	J	`jnl`	Self-Supervised Simultaneous Multi-Step Prediction of Road Dynamics and Cost Map. CoRR Elmira Amirloo Abolfathi, Mohsen Rohani, Ershad Banijamali, Jun Luo, Pascal Poupart
2020	J	`jnl`	Affordance as general value function: A computational model. CoRR Daniel Graves, Johannes Günther, Jun Luo
2020	J	`jnl`	Graph-SIM: A Graph-based Spatiotemporal Interaction Modelling for Pedestrian Action Prediction. CoRR Tiffany Yau, Saber Malekmohammadi, Amir Rasouli, Peter Lakner, Mohsen Rohani, Jun Luo
2020	J	`jnl`	LISPR: An Options Framework for Policy Reuse with Reinforcement Learning. CoRR Daniel Graves, Jun Jin, Jun Luo
2020	J	`jnl`	Multi-Modal Hybrid Architecture for Pedestrian Action Prediction. CoRR Amir Rasouli, Tiffany Yau, Mohsen Rohani, Jun Luo
2020	A*	`conf`	Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning. AAAI Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao
2020	J	`jnl`	Offline Learning of Counterfactual Perception as Prediction for Real-World Robotic Reinforcement Learning. CoRR Jun Jin, Daniel Graves, Cameron Haigh, Jun Luo, Martin Jägersand
2020	J	`jnl`	PePScenes: A Novel Dataset and Baseline for Pedestrian Action Prediction in 3D. CoRR Amir Rasouli, Tiffany Yau, Peter Lakner, Saber Malekmohammadi, Mohsen Rohani, Jun Luo
2020	J	`jnl`	Pedestrian Behavior Prediction via Multitask Learning and Categorical Interaction Modeling. CoRR Amir Rasouli, Mohsen Rohani, Jun Luo
2020	J	`jnl`	Prediction by Anticipation: An Action-Conditional Prediction Method based on Interaction Learning. CoRR Ershad Banijamali, Mohsen Rohani, Elmira Amirloo Abolfathi, Jun Luo, Pascal Poupart
2020	Misc	`conf`	SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving. CoRL Ming Zhou, Jun Luo, Julian Villela, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Zhengbang Zhu, Yihan Ni, Nhat M. Nguyen, Mohamed Elsayed, Haitham Ammar, Alexander I. Cowen-Rivers, Sanjeevan Ahilan, Zheng Tian, Daniel Palenicek, Kasra Rezaee, Peyman Yadmellat, Kun Shao, Dong Chen, Baokuan Zhang, Hongbo Zhang, Jianye Hao, Wulong Liu, Jun Wang
2020	J	`jnl`	SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving. CoRR Ming Zhou, Jun Luo, Julian Villela, 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 M. 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 I. Cowen-Rivers, Zheng Tian, Daniel Palenicek, Haitham Bou-Ammar, Hongbo Zhang, Wulong Liu, Jianye Hao, Jun Wang
2019	—	`conf`	Multi-lane Cruising Using Hierarchical Planning and Reinforcement Learning. ITSC Kasra Rezaee, Peyman Yadmellat, Masoud S. Nosrati, Elmira Amirloo Abolfathi, Mohammed Elmahgiubi, Jun Luo
2019	J	`jnl`	Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning. CoRR Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao