Taher Jafferjee

15 papers A* 5A 1Journal 9

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Taming Multi-Agent Reinforcement Learning with Estimator Variance Reduction. AAMAS Taher Jafferjee, Juliusz Ziomek, Tianpei Yang, Zipeng Dai, Jianhong Wang, Matthew E. Taylor, Kun Shao, Jun Wang, David Mguni
2024	J	`jnl`	Mitigating Value Hallucination in Dyna-Style Planning via Multistep Predecessor Models. J. Artif. Intell. Res. Farzane Aminmansour, Taher Jafferjee, Ehsan Imani, Erin J. Talvitie, Michael Bowling, Martha White
2023	A*	`conf`	Learning to Shape Rewards Using a Game of Two Partners. AAAI 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
2023	A*	`conf`	MANSA: Learning Fast and Slow in Multi-Agent Systems. ICML David Henry Mguni, Haojun Chen, Taher Jafferjee, Jianhong Wang, Longfei Yue, Xidong Feng, Stephen Marcus McAleer, Feifei Tong, Jun Wang, Yaodong Yang
2023	J	`jnl`	MANSA: Learning Fast and Slow in Multi-Agent Systems. CoRR David Mguni, Taher Jafferjee, Haojun Chen, Jianhong Wang, Long Fei, Xidong Feng, Stephen McAleer, Feifei Tong, Jun Wang, Yaodong Yang
2022	A*	`conf`	LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning. ICLR David Henry Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez Nieves, Oliver Slumbers, Feifei Tong, Yang Li, Jiangcheng Zhu, Yaodong Yang, Jun Wang
2022	A*	`conf`	Reinforcement Learning in Presence of Discrete Markovian Context Evolution. ICLR Hang Ren, Aivar Sootla, Taher Jafferjee, Junxiao Shen, Jun Wang, Haitham Bou-Ammar
2022	J	`jnl`	Reinforcement Learning in Presence of Discrete Markovian Context Evolution. CoRR Hang Ren, Aivar Sootla, Taher Jafferjee, Junxiao Shen, Jun Wang, Haitham Bou-Ammar
2022	J	`jnl`	SAUTE RL: Almost Surely Safe Reinforcement Learning Using State Augmentation. CoRR Aivar Sootla, Alexander I. Cowen-Rivers, Taher Jafferjee, Ziyan Wang, David Mguni, Jun Wang, Haitham Bou-Ammar
2022	A*	`conf`	Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation. ICML Aivar Sootla, Alexander I. Cowen-Rivers, Taher Jafferjee, Ziyan Wang, David Henry Mguni, Jun Wang, Haitham Ammar
2022	J	`jnl`	Semi-Centralised Multi-Agent Reinforcement Learning with Policy-Embedded Training. CoRR Taher Jafferjee, Juliusz Krysztof Ziomek, Tianpei Yang, Zipeng Dai, Jianhong Wang, Matthew E. Taylor, Kun Shao, Jun Wang, David Mguni
2021	J	`jnl`	DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention. CoRR David Mguni, Joel Jennings, Taher Jafferjee, Aivar Sootla, Yaodong Yang, Changmin Yu, Usman Islam, Ziyan Wang, Jun Wang
2021	J	`jnl`	LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning. CoRR David Henry Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez Nieves, Oliver Slumbers, Feifei Tong, Yang Li, Jiangcheng Zhu, Yaodong Yang, Jun Wang
2021	J	`jnl`	Learning to Shape Rewards using a Game of Switching Controls. CoRR David Mguni, Jianhong Wang, Taher Jafferjee, Nicolas Perez Nieves, Wenbin Song, Yaodong Yang, Feifei Tong, Hui Chen, Jiangcheng Zhu, Yali Du, Jun Wang
2020	J	`jnl`	Hallucinating Value: A Pitfall of Dyna-style Planning with Imperfect Environment Models. CoRR Taher Jafferjee, Ehsan Imani, Erin Talvitie, Martha White, Michael Bowling