Michael King — accepted AI-conference papers

2024

Learning from One Continuous Video Stream

João Carreira, Michael King, Viorica Patraucean, Dilara Gokay, Catalin Ionescu, Yi Yang +6

CVPR 2024poster

We introduce a framework for online learning from a single continuous video stream - the way people and animals learn without mini-batches data augmentation or shuffling. This poses great challenges given the high correlation between consecutive video frames and there is very little prior work on it…

Cited by 3 Source ↗PDF ↗Scholar ↗

2021

Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents

Jane X Wang, Michael King, Nicolas Pierre Mickael Porcel, Zeb Kurth-Nelson, Tina Zhu, Charlie Deck +11

NeurIPS 2021poster

There has been rapidly growing interest in meta-learning as a method for increasing the flexibility and sample efficiency of reinforcement learning. One problem in this area of research, however, has been a scarcity of adequate benchmark tasks. In general, the structure underlying past benchmarks ha…

Cited by 38 Source ↗code ↗Scholar ↗