Thangarajah, John

16 publications

IJCAI 2025 Direct Estimation of Attenuation Information from Sinograms for Positron Emission Tomography Reconstruction Prabath Hetti Mudiyanselage, Ruwan B. Tennakoon, John Thangarajah, Robert Ware, Jason H. Callahan

IJCAI 2023 Multi-Agent Intention Recognition and Progression Michael Dann, Yuan Yao, Natasha Alechina, Brian Logan, Felipe Meneguzzi, John Thangarajah

IJCAI 2022 Automated Sifting of Stories from Simulated Storyworlds Wilkins Leong, Julie Porteous, John Thangarajah

IJCAI 2022 Multi-Agent Intention Progression with Reward Machines Michael Dann, Yuan Yao, Natasha Alechina, Brian Logan, John Thangarajah

ECML-PKDD 2022 Oracle-SAGE: Planning Ahead in Graph-Based Deep Reinforcement Learning Andrew Chester, Michael Dann, Fabio Zambetta, John Thangarajah

ICLR 2021 Adapting to Reward Progressivity via Spectral Reinforcement Learning Michael Dann, John Thangarajah

IJCAI 2021 Multi-Agent Intention Progression with Black-Box Agents Michael Dann, Yuan Yao, Brian Logan, John Thangarajah

AAAI 2020 A Framework for Engineering Human/Agent Teaming Systems Rick Evertsz, John Thangarajah

IJCAI 2020 Intention Progression Under Uncertainty Yuan Yao, Natasha Alechina, Brian Logan, John Thangarajah

AAAI 2019 Deriving Subgoals Autonomously to Accelerate Learning in Sparse Reward Domains Michael Dann, Fabio Zambetta, John Thangarajah

IJCAI 2017 Agent Design Consistency Checking via Planning Nitin Yadav, John Thangarajah, Sebastian Sardiña

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

AAAI 2016 Robust Execution of BDI Agent Programs by Exploiting Synergies Between Intentions Yuan Yao, Brian Logan, John Thangarajah

IJCAI 2011 Reasoning About Preferences in Intelligent Agent Systems Simeon Visser, John Thangarajah, James Harland

AAAI 2008 Prometheus Design Tool Lin Padgham, John Thangarajah, Michael Winikoff

IJCAI 2003 Detecting & Avoiding Interference Between Goals in Intelligent Agents John Thangarajah, Lin Padgham, Michael Winikoff