Hallucinating Value: A Pitfall of Dyna-style Planning with Imperfect Environment Models. - Taher Jafferjee; Ehsan Imani; Erin Talvitie; Martha White; Michael Bowling (CoRR, 2020)

Learning to Shape Rewards using a Game of Switching Controls. - David Mguni; Jianhong Wang; Taher Jafferjee; Nicolas Perez Nieves; Wenbin Song; Yaodong Yang 001; Feifei Tong; Hui Chen; Jiangcheng Zhu; Yali Du 001; Jun Wang 012 (CoRR, 2021)

DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention. - David Mguni; Joel Jennings; Taher Jafferjee; Aivar Sootla; Yaodong Yang 001; Changmin Yu; Usman Islam; Ziyan Wang; Jun Wang 012 (CoRR, 2021)

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 116; Jiangcheng Zhu; Yaodong Yang 001; Jun Wang 012 (ICLR, 2022)

Reinforcement Learning in Presence of Discrete Markovian Context Evolution. - Hang Ren; Aivar Sootla; Taher Jafferjee; Junxiao Shen; Jun Wang 012; Haitham Bou-Ammar (ICLR, 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 012; Haitham Ammar (ICML, 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 012; David Mguni (CoRR, 2022)

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; et al. (AAAI, 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 012; Yaodong Yang 001 (ICML, 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 012; Yaodong Yang 001 (CoRR, 2023)

Mitigating Value Hallucination in Dyna-Style Planning via Multistep Predecessor Models. - Farzane Aminmansour; Taher Jafferjee; Ehsan Imani; Erin J. Talvitie; Michael Bowling; Martha White (J. Artif. Intell. Res., 2024)

Taming Multi-Agent Reinforcement Learning with Estimator Variance Reduction. - Taher Jafferjee; Juliusz Ziomek; Tianpei Yang; Zipeng Dai; Jianhong Wang; Matthew E. Taylor; Kun Shao; Jun Wang 012; David Mguni (AAMAS, 2025)