Michael Dann

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 17

Top Topics

Intention Recognition

Reinforcement Learning

Top Venues

Publications

Xiaofei Xu, Ke Deng, Michael Dann, Xiuzhen Zhang
Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learning. AAAI (2024)
Xiaofei Xu, Ke Deng, Michael Dann, Xiuzhen Zhang
Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learning. CoRR (2024)
Michael Dann, John Thangarajah, Minyi Li
Feedback-Guided Intention Scheduling for BDI Agents. AAMAS (2023)
Andrew Chester, Michael Dann, Fabio Zambetta, John Thangarajah
SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning. AI (2) (2023)
Michael Dann, Yuan Yao, Natasha Alechina, Brian Logan, Felipe Meneguzzi, John Thangarajah
Multi-Agent Intention Recognition and Progression. IJCAI (2023)
Andrew Chester, Michael Dann, Fabio Zambetta, John Thangarajah
Oracle-SAGE: Planning Ahead in Graph-Based Deep Reinforcement Learning. ECML/PKDD (4) (2022)
Andrew Chester, Michael Dann, Fabio Zambetta, John Thangarajah
SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning. CoRR (2022)
Michael Dann, Yuan Yao, Natasha Alechina, Brian Logan, John Thangarajah
Multi-Agent Intention Progression with Reward Machines. IJCAI (2022)
Michael Dann, John Thangarajah
Adapting to Reward Progressivity via Spectral Reinforcement Learning. CoRR (2021)
Michael Dann, Yuan Yao, Brian Logan, John Thangarajah
Multi-Agent Intention Progression with Black-Box Agents. IJCAI (2021)
Michael Dann, John Thangarajah
Adapting to Reward Progressivity via Spectral Reinforcement Learning. ICLR (2021)
Michael Dann, John Thangarajah, Yuan Yao, Brian Logan
Intention-Aware Multiagent Scheduling. AAMAS (2020)
Michael Dann, Fabio Zambetta, John Thangarajah
Deriving Subgoals Autonomously to Accelerate Learning in Sparse Reward Domains. AAAI (2019)
Michael Dann, Fabio Zambetta, John Thangarajah
Exploration in Continuous Control Tasks via Continually Parameterized Skills. IEEE Trans. Games 10 (4) (2018)
Michael Dann, Fabio Zambetta, John Thangarajah
Integrating Skills and Simulation to Solve Complex Navigation Tasks in Infinite Mario. IEEE Trans. Games 10 (1) (2018)
Michael Dann, Fabio Zambetta, John Thangarajah
Reusing Skills for First-Time Solution of Navigation Tasks in Platform Videogames. AAMAS (2017)
Michael Dann, Fabio Zambetta, John Thangarajah
Real-Time Navigation in Classical Platform Games via Skill Reuse. IJCAI (2017)
Michael Dann, Fabio Zambetta, John Thangarajah
An improved approach to reinforcement learning in Computer Go. CIG (2015)