Taher Jafferjee

According to our database, Taher Jafferjee authored at least 10 papers between 2020 and 2023.

Collaborative distances:

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

2023

MANSA: Learning Fast and Slow in Multi-Agent Systems.

David Mguni, Taher Jafferjee, Haojun Chen, Jianhong Wang, Long Fei, Xidong Feng, Stephen McAleer, Feifei Tong, Jun Wang, Yaodong Yang

CoRR, 2023

MANSA: Learning Fast and Slow in Multi-Agent Systems.

David Henry Mguni, Haojun Chen, Taher Jafferjee, Jianhong Wang, Longfei Yue, Xidong Feng, Stephen Marcus McAleer, Feifei Tong, Jun Wang, Yaodong Yang

Proceedings of the International Conference on Machine Learning, 2023

Learning to Shape Rewards Using a Game of Two Partners.

David Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez Nieves, Wenbin Song, Feifei Tong, Matthew E. Taylor, Tianpei Yang, Zipeng Dai, Hui Chen, Jiangcheng Zhu, Kun Shao, Jun Wang, Yaodong Yang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Semi-Centralised Multi-Agent Reinforcement Learning with Policy-Embedded Training.

Taher Jafferjee, Juliusz Krysztof Ziomek, Tianpei Yang, Zipeng Dai, Jianhong Wang, Matthew E. Taylor, Kun Shao, Jun Wang, David Mguni

CoRR, 2022

Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation.

Aivar Sootla, Alexander I. Cowen-Rivers, Taher Jafferjee, Ziyan Wang, David Henry Mguni, Jun Wang, Haitham Ammar

Proceedings of the International Conference on Machine Learning, 2022

Reinforcement Learning in Presence of Discrete Markovian Context Evolution.

Hang Ren, Aivar Sootla, Taher Jafferjee, Junxiao Shen, Jun Wang, Haitham Bou-Ammar

Proceedings of the Tenth International Conference on Learning Representations, 2022

LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning.

David Henry Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez Nieves, Oliver Slumbers, Feifei Tong, Yang Li, Jiangcheng Zhu, Yaodong Yang, Jun Wang

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention.

David Mguni, Joel Jennings, Taher Jafferjee, Aivar Sootla, Yaodong Yang, Changmin Yu, Usman Islam, Ziyan Wang, Jun Wang

CoRR, 2021

Learning to Shape Rewards using a Game of Switching Controls.

David Mguni, Jianhong Wang, Taher Jafferjee, Nicolas Perez Nieves, Wenbin Song, Yaodong Yang, Feifei Tong, Hui Chen, Jiangcheng Zhu, Yali Du, Jun Wang

CoRR, 2021

2020

Hallucinating Value: A Pitfall of Dyna-style Planning with Imperfect Environment Models.

Taher Jafferjee, Ehsan Imani, Erin Talvitie, Martha White, Michael Bowling

CoRR, 2020