Songan Zhang

According to our database, Songan Zhang authored at least 16 papers between 2018 and 2023.

Collaborative distances:

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

2023

Tactics2D: A Multi-agent Reinforcement Learning Environment for Driving Decision-making.

Yueyuan Li, Songan Zhang, Mingyang Jiang, Xingyuan Chen, Ming Yang

CoRR, 2023

Interpretable Reinforcement Learning for Robotics and Continuous Control.

Rohan R. Paleja, Letian Chen, Yaru Niu, Andrew Silva, Zhaoxin Li, Songan Zhang, Chace Ritchie, Sugju Choi, Kimberlee Chestnut Chang, Hongtei Eric Tseng, Yan Wang, Subramanya Nageshrao, Matthew C. Gombolay

CoRR, 2023

Dream to Adapt: Meta Reinforcement Learning by Latent Context Imagination and MDP Imagination.

Lu Wen, Songan Zhang, H. Eric Tseng, Huei Peng

CoRR, 2023

Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms.

Alexander Bukharin, Yan Li, Yue Yu, Qingru Zhang, Zhehui Chen, Simiao Zuo, Chao Zhang, Songan Zhang, Tuo Zhao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Hybrid Partitioning Strategy for Backward Reachability of Neural Feedback Loops.

Nicholas Rober, Michael Everett, Songan Zhang, Jonathan P. How

Proceedings of the American Control Conference, 2023

2022

Comprehensive Safety Evaluation of Highly Automated Vehicles at the Roundabout Scenario.

Xinpeng Wang, Songan Zhang, Huei Peng

IEEE Trans. Intell. Transp. Syst., 2022

Improved Robustness and Safety for Pre-Adaptation of Meta Reinforcement Learning with Prior Regularization.

Lu Wen, Songan Zhang, H. Eric Tseng, Baljeet Singh, Dimitar P. Filev, Huei Peng

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Prior Is All You Need to Improve the Robustness and Safety for the First Time Deployment of Meta RL.

Lu Wen, Songan Zhang, H. Eric Tseng, Baljeet Singh, Dimitar P. Filev, Huei Peng

CoRR, 2021

Quick Learner Automated Vehicle Adapting its Roadmanship to Varying Traffic Cultures with Meta Reinforcement Learning.

Songan Zhang, Lu Wen, Huei Peng, H. Eric Tseng

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

An Interaction-aware Evaluation Method for Highly Automated Vehicles.

Xinpeng Wang, Huei Peng, Songan Zhang, Kuan-Hui Lee

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Monocular 3D Vehicle Detection Using Uncalibrated Traffic Cameras through Homography.

Minghan Zhu, Songan Zhang, Yuanxin Zhong, Pingping Lu, Huei Peng, John Lenneman

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

2020

Developing Robot Driver Etiquette Based on Naturalistic Human Driving Behavior.

Xianan Huang, Songan Zhang, Huei Peng

IEEE Trans. Intell. Transp. Syst., 2020

Driving-Policy Adaptive Safeguard for Autonomous Vehicles Using Reinforcement Learning.

Zhong Cao, Shaobing Xu, Songan Zhang, Huei Peng, Diange Yang

CoRR, 2020

Generating Socially Acceptable Perturbations for Efficient Evaluation of Autonomous Vehicles.

Songan Zhang, Huei Peng, Subramanya Nageshrao, H. Eric Tseng

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Discretionary Lane Change Decision Making using Reinforcement Learning with Model-Based Exploration.

Songan Zhang, Huei Peng, Subramanya Nageshrao, H. Eric Tseng

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018

Accelerated Evaluation of Autonomous Vehicles in the Lane Change Scenario Based on Subset Simulation Technique.

Songan Zhang, Huei Peng, Ding Zhao, H. Eric Tseng

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018