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Scopus Author ID: 57188983040

Keywords

Reinforcement Learning

Countries

Australia

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Works (14)

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

2024 | Book chapter
DOI: 10.1007/978-981-99-8391-9_22
Contributors: Andrew Chester; Michael Dann; Fabio Zambetta; John Thangarajah
Source: check_circle
Crossref

Feedback-Guided Intention Scheduling for BDI Agents

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems
2023 | Conference paper
Part of ISBN: 9781450394321
Contributors: Dann, Michael; Thangarajah, John; Li, Minyi
Source: Self-asserted source
Michael Dann

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

2023 | Book chapter
DOI: 10.1007/978-3-031-26412-2_4
Contributors: Andrew Chester; Michael Dann; Fabio Zambetta; John Thangarajah
Source: check_circle
Crossref

Multi-Agent Intention Recognition and Progression

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence
2023-08 | Conference paper
DOI: 10.24963/ijcai.2023/11
Contributors: Michael Dann; Yuan Yao; Natasha Alechina; Brian Logan; Felipe Meneguzzi; John Thangarajah
Source: Self-asserted source
Michael Dann

Multi-Agent Intention Progression with Reward Machines

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
2022-07 | Conference paper
DOI: 10.24963/ijcai.2022/31
Contributors: Michael Dann; Yuan Yao; Natasha Alechina; Brian Logan; John Thangarajah
Source: Self-asserted source
Michael Dann

Adapting to Reward Progressivity via Spectral Reinforcement Learning

International Conference on Learning Representations
2021 | Conference paper
URI:

https://openreview.net/forum?id=dyjPVUc2KB
Contributors: Michael Dann; John Thangarajah
Source: Self-asserted source
Michael Dann

Multi-Agent Intention Progression with Black-Box Agents

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence
2021-08 | Conference paper
DOI: 10.24963/ijcai.2021/19
Contributors: Michael Dann; Yuan Yao; Brian Logan; John Thangarajah
Source: Self-asserted source
Michael Dann

Intention-Aware Multiagent Scheduling

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS '20, Auckland, New Zealand, May 9-13, 2020
2020 | Conference paper
URI:

https://dl.acm.org/doi/abs/10.5555/3398761.3398799
Source: Self-asserted source
Michael Dann

Deriving Subgoals Autonomously to Accelerate Learning in Sparse Reward Domains

Proceedings of the AAAI Conference on Artificial Intelligence
2019 | Journal article
DOI: 10.1609/aaai.v33i01.3301881
Source: Self-asserted source
Michael Dann

Exploration in Continuous Control Tasks via Continually Parameterized Skills

IEEE Transactions on Games
2018-12 | Journal article
DOI: 10.1109/tg.2018.2806007
Part of ISSN: 2475-1502
Part of ISSN: 2475-1510
Source: Self-asserted source
Michael Dann
grade
Preferred source (of 2)‎

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

IEEE Transactions on Games
2018-03 | Journal article
DOI: 10.1109/tciaig.2017.2696045
Part of ISSN: 2475-1502
Part of ISSN: 2475-1510
Source: Self-asserted source
Michael Dann
grade
Preferred source (of 2)‎

Real-time navigation in classical platform games via skill reuse

IJCAI International Joint Conference on Artificial Intelligence
2017 | Conference paper
EID:

2-s2.0-85031900400
Contributors: Dann, M.; Zambetta, F.; Thangarajah, J.
Source: Self-asserted source
Michael Dann via Scopus - Elsevier

Reusing skills for first-time solution of navigation tasks in platform videogames

Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
2017 | Conference paper
EID:

2-s2.0-85046399526
Contributors: Dann, M.; Zambetta, F.; Thangarajah, J.
Source: Self-asserted source
Michael Dann via Scopus - Elsevier

An improved approach to reinforcement learning in Computer Go

2015 IEEE Conference on Computational Intelligence and Games, CIG 2015 - Proceedings
2015 | Conference paper
DOI: 10.1109/CIG.2015.7317910
EID:

2-s2.0-84964426018
Contributors: Dann, M.; Zambettau, F.; Thangarajah, J.
Source: Self-asserted source
Michael Dann via Scopus - Elsevier
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