14 citations · 19 across the 4 of their papers we have counts for
4 papers · 1 filter
CaliBench: Are the Stochastic Dynamics of Video World Models Physically Calibrated?
Jonathan Sadeghi, Jenny Seidenschwarz, Jesse Allardice +3
Video world models approximate the stochastic distribution of physical outcomes through generative sampling, but existing benchmarks score individual generations or compare distrib…
PROWL: Prioritized Regret-Driven Optimization for World Model Learning
Ahmet H. Güzel, Jenny Seidenschwarz, Benjamin Graham +3
Modern action-conditioned video world models achieve strong short-horizon visual realism, yet remain unreliable on rare, interaction-critical transitions that dominate downstream p…
Reimagining an autonomous vehicle
Jeffrey Hawke, Haibo E, Vijay Badrinarayanan +1
The self driving challenge in 2021 is this century's technological equivalent of the space race, and is now entering the second major decade of development. Solving the technology…
Learning to Drive in a Day
Alex Kendall, Jeffrey Hawke, David Janz +6
We demonstrate the first application of deep reinforcement learning to autonomous driving. From randomly initialised parameters, our model is able to learn a policy for lane follow…