Kasra Rezaee - RankMe

35 papers A* 7A 2C 3Misc 1Journal 18Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Beyond Simulation: Benchmarking World Models for Planning and Causality in Autonomous Driving. ICRA Hunter Schofield, Mohammed Elmahgiubi, Kasra Rezaee, Jinjun Shan
2025	J	`jnl`	Beyond Simulation: Benchmarking World Models for Planning and Causality in Autonomous Driving. CoRR Hunter Schofield, Mohammed Elmahgiubi, Kasra Rezaee, Jinjun Shan
2025	J	`jnl`	CAPS: Context-Aware Priority Sampling for Enhanced Imitation Learning in Autonomous Driving. CoRR Hamidreza Mirkhani, Behzad Khamidehi, Ehsan Ahmadi, Fazel Arasteh, Mohammed Elmahgiubi, Weize Zhang, Umar Rajguru, Kasra Rezaee
2025	A*	`conf`	Curb Your Attention: Causal Attention Gating for Robust Trajectory Prediction in Autonomous Driving. ICRA Ehsan Ahmadi, Ray Coden Mercurius, Soheil Alizadeh, Kasra Rezaee, Amir Rasouli
2025	A*	`conf`	Validity Learning on Failures: Mitigating the Distribution Shift in Autonomous Vehicle Planning. ICRA Fazel Arasteh, Mohammed Elmahgiubi, Behzad Khamidehi, Hamidreza Mirkhani, Weize Zhang, Tongtong Cao, Kasra Rezaee
2024	J	`jnl`	Analysis of a Modular Autonomous Driving Architecture: The Top Submission to CARLA Leaderboard 2.0 Challenge. CoRR 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
2024	C	`conf`	Augmenting Safety-Critical Driving Scenarios while Preserving Similarity to Expert Trajectories. IV Hamidreza Mirkhani, Behzad Khamidehi, Kasra Rezaee
2024	J	`jnl`	Augmenting Safety-Critical Driving Scenarios while Preserving Similarity to Expert Trajectories. CoRR Hamidreza Mirkhani, Behzad Khamidehi, Kasra Rezaee
2024	A*	`conf`	Confidence Aware Inverse Constrained Reinforcement Learning. ICML Sriram Ganapathi Subramanian, Guiliang Liu, Mohammed Elmahgiubi, Kasra Rezaee, Pascal Poupart
2024	J	`jnl`	Confidence Aware Inverse Constrained Reinforcement Learning. CoRR Sriram Ganapathi Subramanian, Guiliang Liu, Mohammed Elmahgiubi, Kasra Rezaee, Pascal Poupart
2024	J	`jnl`	Curb Your Attention: Causal Attention Gating for Robust Trajectory Prediction in Autonomous Driving. CoRR Ehsan Ahmadi, Ray Coden Mercurius, Soheil Alizadeh, Kasra Rezaee, Amir Rasouli
2024	J	`jnl`	Learning Soft Driving Constraints from Vectorized Scene Embeddings while Imitating Expert Trajectories. CoRR Niloufar Saeidi Mobarakeh, Behzad Khamidehi, Chunlin Li, Hamidreza Mirkhani, Fazel Arasteh, Mohammed Elmahgiubi, Weize Zhang, Kasra Rezaee, Pascal Poupart
2024	J	`jnl`	Learning from Mistakes: a Weakly-supervised Method for Mitigating the Distribution Shift in Autonomous Vehicle Planning. CoRR Fazel Arasteh, Mohammed Elmahgiubi, Behzad Khamidehi, Hamidreza Mirkhani, Weize Zhang, Kasra Rezaee
2024	C	`conf`	Vectorized Representation Dreamer (VRD): Dreaming-Assisted Multi-Agent Motion Forecasting. IV Hunter Schofield, Hamidreza Mirkhani, Mohammed Elmahgiubi, Kasra Rezaee, Jinjun Shan
2024	J	`jnl`	Vectorized Representation Dreamer (VRD): Dreaming-Assisted Multi-Agent Motion-Forecasting. CoRR Hunter Schofield, Hamidreza Mirkhani, Mohammed Elmahgiubi, Kasra Rezaee, Jinjun Shan
2023	A*	`conf`	Benchmarking Constraint Inference in Inverse Reinforcement Learning. ICLR Guiliang Liu, Yudong Luo, Ashish Gaurav, Kasra Rezaee, Pascal Poupart
2023	A*	`conf`	Learning Soft Constraints From Constrained Expert Demonstrations. ICLR Ashish Gaurav, Kasra Rezaee, Guiliang Liu, Pascal Poupart
2022	J	`jnl`	Benchmarking Constraint Inference in Inverse Reinforcement Learning. CoRR Guiliang Liu, Yudong Luo, Ashish Gaurav, Kasra Rezaee, Pascal Poupart
2022	C	`conf`	How To Not Drive: Learning Driving Constraints from Demonstration. IV Kasra Rezaee, Peyman Yadmellat
2022	J	`jnl`	Learning Soft Constraints From Constrained Expert Demonstrations. CoRR Ashish Gaurav, Kasra Rezaee, Guiliang Liu, Pascal Poupart
2022	A*	`conf`	Looking for Trouble: Informative Planning for Safe Trajectories with Occlusions. ICRA Barry Gilhuly, Armin Sadeghi, Peyman Yadmellat, Kasra Rezaee, Stephen L. Smith
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
2021	J	`jnl`	CoachNet: An Adversarial Sampling Approach for Reinforcement Learning. CoRR Elmira Amirloo Abolfathi, Jun Luo, Peyman Yadmellat, Kasra Rezaee
2021	J	`jnl`	How To Not Drive: Learning Driving Constraints from Demonstration. CoRR Kasra Rezaee, Peyman Yadmellat
2021	A	`conf`	Motion Planning for Autonomous Vehicles in the Presence of Uncertainty Using Reinforcement Learning. IROS Kasra Rezaee, Peyman Yadmellat, Simon Chamorro
2021	J	`jnl`	Motion Planning for Autonomous Vehicles in the Presence of Uncertainty Using Reinforcement Learning. CoRR Kasra Rezaee, Peyman Yadmellat, Simon Chamorro
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
2020	J	`jnl`	Perception as prediction using general value functions in autonomous driving applications. CoRR Daniel Graves, Kasra Rezaee, Sean Scheideman
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	A	`conf`	Perception as prediction using general value functions in autonomous driving applications. IROS Daniel Graves, Kasra Rezaee, Sean Scheideman
2015	—	`conf`	Assessment of Adaptive Traffic Signal Control Using Hardware in the Loop Simulation. ITSC Hossam Abdelgawad, Kasra Rezaee, Samah El-Tantawy, Baher Abdulhai, Tamer Abdulazim
2015	—	`conf`	Closed Loop Optimal Adaptive Traffic Signal and Ramp Control: A Case Study on Downtown Toronto. ITSC Samah El-Tantawy, Kasra Rezaee, Baher Abdulhai
2012	—	`conf`	Application of reinforcement learning with continuous state space to ramp metering in real-world conditions. ITSC Kasra Rezaee, Baher Abdulhai, Hossam Abdelgawad