Taher Jafferjee

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 14

Top Topics

State Abstraction

Replicator Dynamics

Reinforcement Learning

Top Venues

J. Artif. Intell. Res.

Publications

Farzane Aminmansour, Taher Jafferjee, Ehsan Imani, Erin J. Talvitie, Michael Bowling, Martha White
Mitigating Value Hallucination in Dyna-Style Planning via Multistep Predecessor Models. J. Artif. Intell. Res. 80 (2024)
David Henry Mguni, Haojun Chen, Taher Jafferjee, Jianhong Wang, Longfei Yue, Xidong Feng, Stephen Marcus McAleer, Feifei Tong, Jun Wang, Yaodong Yang
MANSA: Learning Fast and Slow in Multi-Agent Systems. ICML (2023)
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
Learning to Shape Rewards Using a Game of Two Partners. AAAI (2023)
David Mguni, Taher Jafferjee, Haojun Chen, Jianhong Wang, Long Fei, Xidong Feng, Stephen McAleer, Feifei Tong, Jun Wang, Yaodong Yang
MANSA: Learning Fast and Slow in Multi-Agent Systems. CoRR (2023)
Hang Ren, Aivar Sootla, Taher Jafferjee, Junxiao Shen, Jun Wang, Haitham Bou-Ammar
Reinforcement Learning in Presence of Discrete Markovian Context Evolution. CoRR (2022)
Taher Jafferjee, Juliusz Krysztof Ziomek, Tianpei Yang, Zipeng Dai, Jianhong Wang, Matthew E. Taylor, Kun Shao, Jun Wang, David Mguni
Semi-Centralised Multi-Agent Reinforcement Learning with Policy-Embedded Training. CoRR (2022)
Aivar Sootla, Alexander Imani Cowen-Rivers, Taher Jafferjee, Ziyan Wang, David Mguni, Jun Wang, Haitham Bou-Ammar
SAUTE RL: Almost Surely Safe Reinforcement Learning Using State Augmentation. CoRR (2022)
David Henry Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez Nieves, Oliver Slumbers, Feifei Tong, Yang Li, Jiangcheng Zhu, Yaodong Yang, Jun Wang
LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning. ICLR (2022)
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)
Hang Ren, Aivar Sootla, Taher Jafferjee, Junxiao Shen, Jun Wang, Haitham Bou-Ammar
Reinforcement Learning in Presence of Discrete Markovian Context Evolution. ICLR (2022)
David Henry Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez Nieves, Oliver Slumbers, Feifei Tong, Yang Li, Jiangcheng Zhu, Yaodong Yang, Jun Wang
LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning. CoRR (2021)
David Mguni, Jianhong Wang, Taher Jafferjee, Nicolas Perez Nieves, Wenbin Song, Yaodong Yang, Feifei Tong, Hui Chen, Jiangcheng Zhu, Yali Du, Jun Wang
Learning to Shape Rewards using a Game of Switching Controls. CoRR (2021)
David Mguni, Joel Jennings, Taher Jafferjee, Aivar Sootla, Yaodong Yang, Changmin Yu, Usman Islam, Ziyan Wang, Jun Wang
DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention. CoRR (2021)
Taher Jafferjee, Ehsan Imani, Erin Talvitie, Martha White, Michael Bowling
Hallucinating Value: A Pitfall of Dyna-style Planning with Imperfect Environment Models. CoRR (2020)