Multi-lane Cruising Using Hierarchical Planning and Reinforcement Learning. - Kasra Rezaee; Peyman Yadmellat; Masoud S. Nosrati; Elmira Amirloo Abolfathi; Mohammed Elmahgiubi; Jun Luo 009 (ITSC, 2019)

Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning. - Hangyu Mao; Wulong Liu; Jianye Hao; Jun Luo 009; Dong Li 016; Zhengchao Zhang; Jun Wang 012; Zhen Xiao (AAAI, 2020)

SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving. - Ming Zhou 006; Jun Luo 009; Julian Villela; Yaodong Yang 002; David Rusu; Jiayu Miao; Weinan Zhang 001; Montgomery Alban; Iman Fadakar; Zheng Chen; Chongxi Huang; Ying Wen 001; et al. (CoRL, 2020)

SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving. - Ming Zhou 006; Jun Luo 009; Julian Villela; Yaodong Yang 002; David Rusu; Jiayu Miao; Weinan Zhang 001; Montgomery Alban; Iman Fadakar; Zheng Chen; Aurora Chongxi Huang; Ying Wen 001; et al. (CoRR, 2020)

Offline Learning of Counterfactual Perception as Prediction for Real-World Robotic Reinforcement Learning. - Jun Jin 001; Daniel Graves; Cameron Haigh; Jun Luo 009; Martin Jägersand (CoRR, 2020)

Pedestrian Behavior Prediction via Multitask Learning and Categorical Interaction Modeling. - Amir Rasouli; Mohsen Rohani; Jun Luo 009 (CoRR, 2020)

PePScenes: A Novel Dataset and Baseline for Pedestrian Action Prediction in 3D. - Amir Rasouli; Tiffany Yau; Peter Lakner; Saber Malekmohammadi; Mohsen Rohani; Jun Luo 009 (CoRR, 2020)

LISPR: An Options Framework for Policy Reuse with Reinforcement Learning. - Daniel Graves; Jun Jin 001; Jun Luo 009 (CoRR, 2020)

Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems. - Yaodong Yang 002; Jun Luo 009; Ying Wen 001; Oliver Slumbers; Daniel Graves; Haitham Bou-Ammar; Jun Wang 012; Matthew E. Taylor (AAMAS, 2021)

Self-Supervised Simultaneous Multi-Step Prediction of Road Dynamics and Cost Map. - Elmira Amirloo Abolfathi; Mohsen Rohani; Ershad Banijamali; Jun Luo 009; Pascal Poupart (CVPR, 2021)

Prediction by Anticipation: An Action-Conditional Prediction Method based on Interaction Learning. - Ershad Banijamali; Mohsen Rohani; Elmira Amirloo Abolfathi; Jun Luo 009; Pascal Poupart (ICCV, 2021)

Bifold and Semantic Reasoning for Pedestrian Behavior Prediction. - Amir Rasouli; Mohsen Rohani; Jun Luo 009 (ICCV, 2021)

Learning robust driving policies without online exploration. - Daniel Graves; Nhat M. Nguyen; Kimia Hassanzadeh; Jun Jin 001; Jun Luo 009 (ICRA, 2021)

Open-set Intersection Intention Prediction for Autonomous Driving. - Fei Li; Xiangxu Li; Jun Luo 009; Shiwei Fan; Hongbo Zhang (ICRA, 2021)

Graph-SIM: A Graph-based Spatiotemporal Interaction Modelling for Pedestrian Action Prediction. - Tiffany Yau; Saber Malekmohammadi; Amir Rasouli; Peter Lakner; Mohsen Rohani; Jun Luo 009 (ICRA, 2021)

CoachNet: An Adversarial Sampling Approach for Reinforcement Learning. - Elmira Amirloo Abolfathi; Jun Luo 009; Peyman Yadmellat; Kasra Rezaee (CoRR, 2021)

Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment. - Tianze Zhou; Fubiao Zhang; Kun Shao; Kai Li 022; Wenhan Huang; Jun Luo 009; Weixun Wang; Yaodong Yang 002; Hangyu Mao; Bin Wang 034; Dong Li 016; Wulong Liu; et al. (CoRR, 2021)

Multiagent Q-learning with Sub-Team Coordination. - Wenhan Huang; Kai Li 022; Kun Shao; Tianze Zhou; Jun Luo 009; Dongge Wang 001; Hangyu Mao; Jianye Hao; Jun Wang 012; Xiaotie Deng (AAMAS, 2022)

Offline Learning of Counterfactual Predictions for Real-World Robotic Reinforcement Learning. - Jun Jin 001; Daniel Graves; Cameron Haigh; Jun Luo 009; Martin Jägersand (ICRA, 2022)

Multi-Modal Hybrid Architecture for Pedestrian Action Prediction. - Amir Rasouli; Tiffany Yau; Mohsen Rohani; Jun Luo 009 (IV, 2022)

A Simple Decentralized Cross-Entropy Method. - Zichen Zhang 001; Jun Jin 001; Martin Jägersand; Jun Luo 009; Dale Schuurmans (NeurIPS, 2022)

Multiagent Q-learning with Sub-Team Coordination. - Wenhan Huang; Kai Li 022; Kun Shao; Tianze Zhou; Matthew E. Taylor; Jun Luo 009; Dongge Wang 001; Hangyu Mao; Jianye Hao; Jun Wang 012; Xiaotie Deng (NeurIPS, 2022)

Understanding and mitigating the limitations of prioritized experience replay. - Yangchen Pan; Jincheng Mei; Amir-massoud Farahmand; Martha White; Hengshuai Yao; Mohsen Rohani; Jun Luo 009 (UAI, 2022)

Affordance as general value function: a computational model. - Daniel Graves; Johannes Günther 002; Jun Luo 009 (Adapt. Behav., 2022)

Drawing Inductor Layout with a Reinforcement Learning Agent: Method and Application for VCO Inductors. - Cameron Haigh; Zichen Zhang 001; Negar Hassanpour; Khurram Javed; Yingying Fu; Shayan Shahramian; Shawn Zhang; Jun Luo 009 (CoRR, 2022)

LatentFormer: Multi-Agent Transformer-Based Interaction Modeling and Trajectory Prediction. - Elmira Amirloo Abolfathi; Amir Rasouli; Peter Lakner; Mohsen Rohani; Jun Luo 009 (CoRR, 2022)

What makes useful auxiliary tasks in reinforcement learning: investigating the effect of the target policy. - Banafsheh Rafiee; Jun Jin 001; Jun Luo 009; Adam White 001 (CoRR, 2022)

Memory-efficient Reinforcement Learning with Knowledge Consolidation. - Qingfeng Lan; Yangchen Pan; Jun Luo 009; A. Rupam Mahmood (CoRR, 2022)

NeurIPS 2022 Competition: Driving SMARTS. - 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; et al. (CoRR, 2022)

Build generally reusable agent-environment interaction models. - Jun Jin 001; Hongming Zhang 003; Jun Luo 009 (CoRR, 2022)

Label Alignment Regularization for Distribution Shift. - Ehsan Imani; Guojun Zhang; Jun Luo 009; Pascal Poupart; Yangchen Pan (CoRR, 2022)

Variable-Decision Frequency Option Critic. - Amirmohammad Karimi; Jun Jin 001; Jun Luo 009; A. Rupam Mahmood; Martin Jägersand; Samuele Tosatto (CoRR, 2022)

Auxiliary task discovery through generate-and-test. - Banafsheh Rafiee; Sina Ghiassian; Jun Jin 001; Richard S. Sutton; Jun Luo 009; Adam White 001 (CoLLAs, 2023)

Dynamic Decision Frequency with Continuous Options. - Amirmohammad Karimi; Jun Jin 001; Jun Luo 009; A. Rupam Mahmood; Martin Jägersand; Samuele Tosatto (IROS, 2023)

Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation. - Qingfeng Lan; Yangchen Pan; Jun Luo 009; A. Rupam Mahmood (Trans. Mach. Learn. Res., 2023)

Reinforcement Teaching. - Calarina Muslimani; Alex Lewandowski; Dale Schuurmans; Matthew E. Taylor; Jun Luo 009 (Trans. Mach. Learn. Res., 2023)

Label Alignment Regularization for Distribution Shift. - Ehsan Imani; Guojun Zhang; Runjia Li; Jun Luo 009; Pascal Poupart; Philip H. S. Torr; Yangchen Pan (J. Mach. Learn. Res., 2024)

Reinitializing weights vs units for maintaining plasticity in neural networks. - J. Fernando Hernandez-Garcia; Shibhansh Dohare; Jun Luo 009; Richard S. Sutton (CoRR, 2025)