Michael Dann

According to our database, Michael Dann authored at least 15 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learning.

Xiaofei Xu, Ke Deng, Michael Dann, Xiuzhen Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Multi-Agent Intention Recognition and Progression.

Michael Dann, Yuan Yao, Natasha Alechina, Brian Logan, Felipe Meneguzzi, John Thangarajah

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning.

Andrew Chester, Michael Dann, Fabio Zambetta, John Thangarajah

Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

Feedback-Guided Intention Scheduling for BDI Agents.

Michael Dann, John Thangarajah, Minyi Li

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Oracle-SAGE: Planning Ahead in Graph-Based Deep Reinforcement Learning.

Andrew Chester, Michael Dann, Fabio Zambetta, John Thangarajah

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Multi-Agent Intention Progression with Reward Machines.

Michael Dann, Yuan Yao, Natasha Alechina, Brian Logan, John Thangarajah

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Multi-Agent Intention Progression with Black-Box Agents.

Michael Dann, Yuan Yao, Brian Logan, John Thangarajah

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Adapting to Reward Progressivity via Spectral Reinforcement Learning.

Michael Dann, John Thangarajah

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Intention-Aware Multiagent Scheduling.

Michael Dann, John Thangarajah, Yuan Yao, Brian Logan

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Deriving Subgoals Autonomously to Accelerate Learning in Sparse Reward Domains.

Michael Dann, Fabio Zambetta, John Thangarajah

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Exploration in Continuous Control Tasks via Continually Parameterized Skills.

Michael Dann, Fabio Zambetta, John Thangarajah

IEEE Trans. Games, 2018

Integrating Skills and Simulation to Solve Complex Navigation Tasks in Infinite Mario.

Michael Dann, Fabio Zambetta, John Thangarajah

IEEE Trans. Games, 2018

2017

Real-Time Navigation in Classical Platform Games via Skill Reuse.

Michael Dann, Fabio Zambetta, John Thangarajah

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Reusing Skills for First-Time Solution of Navigation Tasks in Platform Videogames.

Michael Dann, Fabio Zambetta, John Thangarajah

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

2015

An improved approach to reinforcement learning in Computer Go.

Michael Dann, Fabio Zambetta, John Thangarajah

Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games, 2015