28 citations · 29 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 1 cited
Stacked Universal Successor Feature Approximators for Safety in Reinforcement Learning
Ian Cannon, Washington Garcia, Thomas Gresavage +3
Real-world problems often involve complex objective structures that resist distillation into reinforcement learning environments with a single objective. Operation costs must be ba…
physics.flu-dyn2021★ 28 cited
The effect of droplet coalescence on drag in turbulent channel flows
Ianto Cannon, Daulet Izbassarov, Outi Tammisola +2
We study the effect of droplet coalescence on turbulent wall-bounded flows, by means of direct numerical simulations. In particular, the volume-of-fluid and front-tracking methods…