Haitham Ammar

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 5

Top Topics

Scale Free Networks

Variational Inference

Reinforcement Learning

Top Venues

Publications

Aivar Sootla, Alexander I. Cowen-Rivers, Taher Jafferjee, Ziyan Wang, David Henry Mguni, Jun Wang, Haitham Ammar
Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation. ICML (2022)
Vincent Moens, Hang Ren, Alexandre Maraval, Rasul Tutunov, Jun Wang, Haitham Ammar
Efficient Semi-Implicit Variational Inference. CoRR (2021)
Haitham Ammar, Victor Gabillon, Rasul Tutunov, Michal Valko
Derivative-Free & Order-Robust Optimisation. AISTATS (2020)
Alexander Imani Cowen-Rivers, Daniel Palenicek, Vincent Moens, Mohammed Amin Abdullah, Aivar Sootla, Jun Wang, Haitham Ammar
SAMBA: Safe Model-Based & Active Reinforcement Learning. CoRR (2020)
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 Imani 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)
Bijan Ranjbar Sahraei, Dean Bloembergen, Haitham Ammar, Karl Tuyls, Gerhard Weiss
Effects of Evolution on the Emergence of Scale Free Networks. ALIFE (2014)