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2020 – today
- 2024
[c13]Xiaofei Xu, Ke Deng, Michael Dann, Xiuzhen Zhang:
Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learning. AAAI 2024: 22447-22456- [i3]Xiaofei Xu, Ke Deng, Michael Dann, Xiuzhen Zhang:
Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learning. CoRR abs/2402.03357 (2024) - 2023
- [c12]Michael Dann, John Thangarajah, Minyi Li:
Feedback-Guided Intention Scheduling for BDI Agents. AAMAS 2023: 1173-1181 - [c11]Andrew Chester
, Michael Dann, Fabio Zambetta, John Thangarajah:
SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning. AI (2) 2023: 274-285 - [c10]Michael Dann, Yuan Yao, Natasha Alechina, Brian Logan, Felipe Meneguzzi, John Thangarajah:
Multi-Agent Intention Recognition and Progression. IJCAI 2023: 91-99 - 2022
- [c9]Michael Dann, Yuan Yao, Natasha Alechina, Brian Logan, John Thangarajah:
Multi-Agent Intention Progression with Reward Machines. IJCAI 2022: 215-222 - [c8]Andrew Chester, Michael Dann, Fabio Zambetta, John Thangarajah:
Oracle-SAGE: Planning Ahead in Graph-Based Deep Reinforcement Learning. ECML/PKDD (4) 2022: 52-67 - [i2]Andrew Chester, Michael Dann, Fabio Zambetta, John Thangarajah:
SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning. CoRR abs/2203.05079 (2022) - 2021
- [c7]Michael Dann, John Thangarajah:
Adapting to Reward Progressivity via Spectral Reinforcement Learning. ICLR 2021 - [c6]Michael Dann, Yuan Yao, Brian Logan, John Thangarajah:
Multi-Agent Intention Progression with Black-Box Agents. IJCAI 2021: 132-138 - [i1]Michael Dann, John Thangarajah:
Adapting to Reward Progressivity via Spectral Reinforcement Learning. CoRR abs/2104.14138 (2021) - 2020
- [c5]Michael Dann, John Thangarajah, Yuan Yao, Brian Logan:
Intention-Aware Multiagent Scheduling. AAMAS 2020: 285-293
2010 – 2019
- 2019
- [c4]Michael Dann, Fabio Zambetta, John Thangarajah:
Deriving Subgoals Autonomously to Accelerate Learning in Sparse Reward Domains. AAAI 2019: 881-889 - 2018
- [j2]Michael Dann, Fabio Zambetta, John Thangarajah:
Integrating Skills and Simulation to Solve Complex Navigation Tasks in Infinite Mario. IEEE Trans. Games 10(1): 101-106 (2018) - [j1]Michael Dann, Fabio Zambetta, John Thangarajah:
Exploration in Continuous Control Tasks via Continually Parameterized Skills. IEEE Trans. Games 10(4): 390-399 (2018) - 2017
- [c3]Michael Dann, Fabio Zambetta, John Thangarajah:
Reusing Skills for First-Time Solution of Navigation Tasks in Platform Videogames. AAMAS 2017: 1517-1519 - [c2]Michael Dann, Fabio Zambetta, John Thangarajah:
Real-Time Navigation in Classical Platform Games via Skill Reuse. IJCAI 2017: 1582-1588 - 2015
- [c1]Michael Dann, Fabio Zambetta, John Thangarajah:
An improved approach to reinforcement learning in Computer Go. CIG 2015: 169-176
Coauthor Index
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