Kasra Rezaee

According to our database, Kasra Rezaee authored at least 20 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Curb Your Attention: Causal Attention Gating for Robust Trajectory Prediction in Autonomous Driving.

Ehsan Ahmadi, Ray Coden Mercurius, Soheil Alizadeh, Kasra Rezaee, Amir Rasouli

CoRR, 2024

Learning from Mistakes: a Weakly-supervised Method for Mitigating the Distribution Shift in Autonomous Vehicle Planning.

Fazel Arasteh, Mohammed Elmahgiubi, Behzad Khamidehi, Hamidreza Mirkhani, Weize Zhang, Kasra Rezaee

CoRR, 2024

Analysis of a Modular Autonomous Driving Architecture: The Top Submission to CARLA Leaderboard 2.0 Challenge.

Weize Zhang, Mohammed Elmahgiubi, Kasra Rezaee, Behzad Khamidehi, Hamidreza Mirkhani, Fazel Arasteh, Chunlin Li, Muhammad Ahsan Kaleem, Eduardo R. Corral-Soto, Dhruv Sharma, Tongtong Cao

CoRR, 2024

Vectorized Representation Dreamer (VRD): Dreaming-Assisted Multi-Agent Motion Forecasting.

Hunter Schofield, Hamidreza Mirkhani, Mohammed Elmahgiubi, Kasra Rezaee, Jinjun Shan

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Augmenting Safety-Critical Driving Scenarios while Preserving Similarity to Expert Trajectories.

Hamidreza Mirkhani, Behzad Khamidehi, Kasra Rezaee

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Confidence Aware Inverse Constrained Reinforcement Learning.

Sriram Ganapathi Subramanian, Guiliang Liu, Mohammed Elmahgiubi, Kasra Rezaee, Pascal Poupart

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Benchmarking Constraint Inference in Inverse Reinforcement Learning.

Guiliang Liu, Yudong Luo, Ashish Gaurav, Kasra Rezaee, Pascal Poupart

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Soft Constraints From Constrained Expert Demonstrations.

Ashish Gaurav, Kasra Rezaee, Guiliang Liu, Pascal Poupart

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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, David Meger, Jun Luo, Liam Paull, Weinan Zhang, Xinyu Wang, Xi Chen

CoRR, 2022

How To Not Drive: Learning Driving Constraints from Demonstration.

Kasra Rezaee, Peyman Yadmellat

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Looking for Trouble: Informative Planning for Safe Trajectories with Occlusions.

Barry Gilhuly, Armin Sadeghi, Peyman Yadmellat, Kasra Rezaee, Stephen L. Smith

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

CoachNet: An Adversarial Sampling Approach for Reinforcement Learning.

Elmira Amirloo Abolfathi, Jun Luo, Peyman Yadmellat, Kasra Rezaee

CoRR, 2021

Motion Planning for Autonomous Vehicles in the Presence of Uncertainty Using Reinforcement Learning.

Kasra Rezaee, Peyman Yadmellat, Simon Chamorro

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

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

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

CoRR, 2020

SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving.

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

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Multi-lane Cruising Using Hierarchical Planning and Reinforcement Learning.

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

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Perception as prediction using general value functions in autonomous driving applications.

Daniel Graves, Kasra Rezaee, Sean Scheideman

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2015

Closed Loop Optimal Adaptive Traffic Signal and Ramp Control: A Case Study on Downtown Toronto.

Samah El-Tantawy, Kasra Rezaee, Baher Abdulhai

Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

Assessment of Adaptive Traffic Signal Control Using Hardware in the Loop Simulation.

Hossam Abdelgawad, Kasra Rezaee, Samah El-Tantawy, Baher Abdulhai, Tamer Abdulazim

Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

2012

Application of reinforcement learning with continuous state space to ramp metering in real-world conditions.

Kasra Rezaee, Baher Abdulhai, Hossam Abdelgawad

Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012