Dann, Michael

8 publications

AAAI 2024 Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learning Xiaofei Xu, Ke Deng, Michael Dann, Xiuzhen Zhang

IJCAI 2023 Multi-Agent Intention Recognition and Progression Michael Dann, Yuan Yao, Natasha Alechina, Brian Logan, Felipe Meneguzzi, John Thangarajah

IJCAI 2022 Multi-Agent Intention Progression with Reward Machines Michael Dann, Yuan Yao, Natasha Alechina, Brian Logan, John Thangarajah

ECML-PKDD 2022 Oracle-SAGE: Planning Ahead in Graph-Based Deep Reinforcement Learning Andrew Chester, Michael Dann, Fabio Zambetta, John Thangarajah

ICLR 2021 Adapting to Reward Progressivity via Spectral Reinforcement Learning Michael Dann, John Thangarajah

IJCAI 2021 Multi-Agent Intention Progression with Black-Box Agents Michael Dann, Yuan Yao, Brian Logan, John Thangarajah

AAAI 2019 Deriving Subgoals Autonomously to Accelerate Learning in Sparse Reward Domains Michael Dann, Fabio Zambetta, John Thangarajah

IJCAI 2017 Real-Time Navigation in Classical Platform Games via Skill Reuse Michael Dann, Fabio Zambetta, John Thangarajah