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2020 – today
- 2024
[c14]Sriram Ganapathi Subramanian, Guiliang Liu, Mohammed Elmahgiubi, Kasra Rezaee, Pascal Poupart:
Confidence Aware Inverse Constrained Reinforcement Learning. ICML 2024- [c13]Hunter Schofield, Hamidreza Mirkhani, Mohammed Elmahgiubi, Kasra Rezaee, Jinjun Shan:
Vectorized Representation Dreamer (VRD): Dreaming-Assisted Multi-Agent Motion Forecasting. IV 2024: 2012-2017 - [c12]Hamidreza Mirkhani, Behzad Khamidehi, Kasra Rezaee:
Augmenting Safety-Critical Driving Scenarios while Preserving Similarity to Expert Trajectories. IV 2024: 2085-2090 - [i16]Hamidreza Mirkhani, Behzad Khamidehi, Kasra Rezaee:
Augmenting Safety-Critical Driving Scenarios while Preserving Similarity to Expert Trajectories. CoRR abs/2404.13347 (2024) - [i15]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:
Analysis of a Modular Autonomous Driving Architecture: The Top Submission to CARLA Leaderboard 2.0 Challenge. CoRR abs/2405.01394 (2024) - [i14]Fazel Arasteh, Mohammed Elmahgiubi, Behzad Khamidehi, Hamidreza Mirkhani, Weize Zhang, Kasra Rezaee:
Learning from Mistakes: a Weakly-supervised Method for Mitigating the Distribution Shift in Autonomous Vehicle Planning. CoRR abs/2406.01544 (2024) - [i13]Hunter Schofield, Hamidreza Mirkhani, Mohammed Elmahgiubi, Kasra Rezaee, Jinjun Shan:
Vectorized Representation Dreamer (VRD): Dreaming-Assisted Multi-Agent Motion-Forecasting. CoRR abs/2406.14415 (2024) - [i12]Sriram Ganapathi Subramanian, Guiliang Liu, Mohammed Elmahgiubi, Kasra Rezaee, Pascal Poupart:
Confidence Aware Inverse Constrained Reinforcement Learning. CoRR abs/2406.16782 (2024) - [i11]Ehsan Ahmadi, Ray Coden Mercurius, Soheil Alizadeh, Kasra Rezaee, Amir Rasouli:
Curb Your Attention: Causal Attention Gating for Robust Trajectory Prediction in Autonomous Driving. CoRR abs/2410.07191 (2024) - [i10]Niloufar Saeidi Mobarakeh, Behzad Khamidehi, Chunlin Li, Hamidreza Mirkhani, Fazel Arasteh, Mohammed Elmahgiubi, Weize Zhang, Kasra Rezaee, Pascal Poupart:
Learning Soft Driving Constraints from Vectorized Scene Embeddings while Imitating Expert Trajectories. CoRR abs/2412.05717 (2024) - 2023
- [c11]Ashish Gaurav, Kasra Rezaee, Guiliang Liu, Pascal Poupart:
Learning Soft Constraints From Constrained Expert Demonstrations. ICLR 2023 - [c10]Guiliang Liu, Yudong Luo, Ashish Gaurav, Kasra Rezaee, Pascal Poupart:
Benchmarking Constraint Inference in Inverse Reinforcement Learning. ICLR 2023 - 2022
- [c9]Barry Gilhuly
, Armin Sadeghi, Peyman Yadmellat, Kasra Rezaee, Stephen L. Smith:
Looking for Trouble: Informative Planning for Safe Trajectories with Occlusions. ICRA 2022: 8985-8991 - [c8]Kasra Rezaee, Peyman Yadmellat:
How To Not Drive: Learning Driving Constraints from Demonstration. IV 2022: 1297-1302 - [i9]Ashish Gaurav, Kasra Rezaee, Guiliang Liu, Pascal Poupart:
Learning Soft Constraints From Constrained Expert Demonstrations. CoRR abs/2206.01311 (2022) - [i8]Guiliang Liu, Yudong Luo, Ashish Gaurav, Kasra Rezaee, Pascal Poupart:
Benchmarking Constraint Inference in Inverse Reinforcement Learning. CoRR abs/2206.09670 (2022) - [i7]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:
NeurIPS 2022 Competition: Driving SMARTS. CoRR abs/2211.07545 (2022) - 2021
- [c7]Kasra Rezaee, Peyman Yadmellat, Simon Chamorro:
Motion Planning for Autonomous Vehicles in the Presence of Uncertainty Using Reinforcement Learning. IROS 2021: 3506-3511 - [i6]Elmira Amirloo Abolfathi, Jun Luo, Peyman Yadmellat, Kasra Rezaee:
CoachNet: An Adversarial Sampling Approach for Reinforcement Learning. CoRR abs/2101.02649 (2021) - [i5]Kasra Rezaee, Peyman Yadmellat, Simon Chamorro:
Motion Planning for Autonomous Vehicles in the Presence of Uncertainty Using Reinforcement Learning. CoRR abs/2110.00640 (2021) - [i4]Kasra Rezaee, Peyman Yadmellat:
How To Not Drive: Learning Driving Constraints from Demonstration. CoRR abs/2110.00645 (2021) - [i3]Kasra Rezaee, Peyman Yadmellat, Masoud S. Nosrati, Elmira Amirloo Abolfathi, Mohammed Elmahgiubi, Jun Luo:
Multi-lane Cruising Using Hierarchical Planning and Reinforcement Learning. CoRR abs/2110.00650 (2021) - 2020
- [c6]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:
SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving. CoRL 2020: 264-285 - [i2]Daniel Graves, Kasra Rezaee, Sean Scheideman:
Perception as prediction using general value functions in autonomous driving applications. CoRR abs/2001.09113 (2020) - [i1]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:
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving. CoRR abs/2010.09776 (2020)
2010 – 2019
- 2019
- [c5]Daniel Graves, Kasra Rezaee, Sean Scheideman:
Perception as prediction using general value functions in autonomous driving applications. IROS 2019: 1202-1209 - [c4]Kasra Rezaee, Peyman Yadmellat, Masoud S. Nosrati, Elmira Amirloo Abolfathi, Mohammed Elmahgiubi, Jun Luo:
Multi-lane Cruising Using Hierarchical Planning and Reinforcement Learning. ITSC 2019: 1800-1806 - 2015
- [c3]Hossam Abdelgawad, Kasra Rezaee, Samah El-Tantawy, Baher Abdulhai, Tamer Abdulazim:
Assessment of Adaptive Traffic Signal Control Using Hardware in the Loop Simulation. ITSC 2015: 1189-1195 - [c2]Samah El-Tantawy, Kasra Rezaee, Baher Abdulhai:
Closed Loop Optimal Adaptive Traffic Signal and Ramp Control: A Case Study on Downtown Toronto. ITSC 2015: 2398-2404 - 2012
- [c1]Kasra Rezaee, Baher Abdulhai, Hossam Abdelgawad:
Application of reinforcement learning with continuous state space to ramp metering in real-world conditions. ITSC 2012: 1590-1595
Coauthor Index
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