Matthew Jackson — accepted AI-conference papers

2026

Adaptive Physics Transformer with Fused Global-Local Attention for Subsurface Energy Systems

Xin Ju, Hadrian Fung, Yuyan Zhang, Carl Jacquemyn, Matthew Jackson, Randolph Settgast +2

ICML 2026poster

The Earth's subsurface is a cornerstone of modern society, providing essential energy resources like hydrocarbons, geothermal, and minerals while serving as the primary reservoir for $CO_2$ sequestration. However, full physics numerical simulations of these systems are notoriously computationally ex…

Cited by 0 Source ↗Scholar ↗

2026

Goal-Conditioned Agents that Learn Everything All at Once

Michael Matthews, Matthew Jackson, Michael Beukman, Thomas Foster, Alistair Letcher, Scott Fujimoto +2

ICML 2026poster

A goal-conditioned reinforcement learning agent acting in an environment will see a wealth of information throughout a trajectory, most of which is discarded when only considering the trajectory with respect to a single goal. All-goals learning, where each transition is used for learning off-policy …

Cited by 0 Source ↗Scholar ↗