An improved approach to reinforcement learning in Computer Go. - Michael Dann; Fabio Zambetta; John Thangarajah (CIG, 2015)

Reusing Skills for First-Time Solution of Navigation Tasks in Platform Videogames. - Michael Dann; Fabio Zambetta; John Thangarajah (AAMAS, 2017)

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

Integrating Skills and Simulation to Solve Complex Navigation Tasks in Infinite Mario. - Michael Dann; Fabio Zambetta; John Thangarajah (IEEE Trans. Games, 2018)

Exploration in Continuous Control Tasks via Continually Parameterized Skills. - Michael Dann; Fabio Zambetta; John Thangarajah (IEEE Trans. Games, 2018)

Deriving Subgoals Autonomously to Accelerate Learning in Sparse Reward Domains. - Michael Dann; Fabio Zambetta; John Thangarajah (AAAI, 2019)

Intention-Aware Multiagent Scheduling. - Michael Dann; John Thangarajah; Yuan Yao 007; Brian Logan 001 (AAMAS, 2020)

Adapting to Reward Progressivity via Spectral Reinforcement Learning. - Michael Dann; John Thangarajah (ICLR, 2021)

Multi-Agent Intention Progression with Black-Box Agents. - Michael Dann; Yuan Yao 007; Brian Logan 001; John Thangarajah (IJCAI, 2021)

Multi-Agent Intention Progression with Reward Machines. - Michael Dann; Yuan Yao 007; Natasha Alechina; Brian Logan 001; John Thangarajah (IJCAI, 2022)

Oracle-SAGE: Planning Ahead in Graph-Based Deep Reinforcement Learning. - Andrew Chester 001; Michael Dann; Fabio Zambetta; John Thangarajah (ECML/PKDD (4), 2022)

Feedback-Guided Intention Scheduling for BDI Agents. - Michael Dann; John Thangarajah; Minyi Li 001 (AAMAS, 2023)

SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning. - Andrew Chester 001; Michael Dann; Fabio Zambetta; John Thangarajah (AI (2), 2023)

Multi-Agent Intention Recognition and Progression. - Michael Dann; Yuan Yao 007; Natasha Alechina; Brian Logan 001; Felipe Meneguzzi; John Thangarajah (IJCAI, 2023)

Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learning. - Xiaofei Xu; Ke Deng; Michael Dann; Xiuzhen Zhang 001 (AAAI, 2024)

Beyond Goal Recognition: A Reinforcement Learning-based Approach to Inferring Agent Behaviour. - Sheryl Mantik; Michael Dann; Minyi Li 001; Huong Ha 001; Julie Porteous (AAMAS, 2025)