| 2026 | GECCO | Evolving Macro-Actions for Monte Carlo Tree Search in Real-Time Domains. | Andrew Gourley, Michael Dann, Xiaodong Li, Fabio Zambetta |
| 2025 | GECCO | Evolving Macro-Actions for MCTS Video Game Agents. | Andrew Gourley, Michael Dann, Xiaodong Li, Fabio Zambetta |
| 2024 | AAAI | Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learning. | Xiaofei Xu, Ke Deng, Michael Dann, Xiuzhen Zhang |
| 2023 | IJCAI | Multi-Agent Intention Recognition and Progression. | Michael Dann, Yuan Yao, Natasha Alechina, Brian Logan, Felipe Meneguzzi, John Thangarajah |
| 2022 | IJCAI | Multi-Agent Intention Progression with Reward Machines. | Michael Dann, Yuan Yao, Natasha Alechina, Brian Logan, John Thangarajah |
| 2021 | ICLR | Adapting to Reward Progressivity via Spectral Reinforcement Learning. | Michael Dann, John Thangarajah |
| 2021 | IJCAI | Multi-Agent Intention Progression with Black-Box Agents. | Michael Dann, Yuan Yao, Brian Logan, John Thangarajah |
| 2019 | AAAI | Deriving Subgoals Autonomously to Accelerate Learning in Sparse Reward Domains. | Michael Dann, Fabio Zambetta, John Thangarajah |
| 2017 | IJCAI | Real-Time Navigation in Classical Platform Games via Skill Reuse. | Michael Dann, Fabio Zambetta, John Thangarajah |