Ammar, Haitham

3 publications

ICML 2022 Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation Aivar Sootla, Alexander I Cowen-Rivers, Taher Jafferjee, Ziyan Wang, David H Mguni, Jun Wang, Haitham Ammar

AISTATS 2020 Derivative-Free & Order-Robust Optimisation Haitham Ammar, Victor Gabillon, Rasul Tutunov, Michal Valko

CoRL 2020 SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving Ming Zhou, Jun Luo, Julian Villella, 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 Nguyen, Mohamed Elsayed, Haitham Ammar, Alexander 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