activity
20152022
most citedSkillful Precipitation Nowcasting using Deep Generative Models of Radar

1k citations · 1.8k across the 15 of their papers we have counts for

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Showing cs.AIShow all

8 papers · 1 filter

cs.AI2021★ 9 cited

Generative Art Using Neural Visual Grammars and Dual Encoders

Chrisantha Fernando, S. M. Ali Eslami, Jean-Baptiste Alayrac +3

Whilst there are perhaps only a few scientific methods, there seem to be almost as many artistic methods as there are artists. Artistic processes appear to inhabit the highest orde…

cs.AI2019★ 49 cited

The StreetLearn Environment and Dataset

Piotr Mirowski, Andras Banki-Horvath, Keith Anderson +8

Navigation is a rich and well-grounded problem domain that drives progress in many different areas of research: perception, planning, memory, exploration, and optimisation in parti…

cs.AI2019

Learning To Follow Directions in Street View

Karl Moritz Hermann, Mateusz Malinowski, Piotr Mirowski +3

Navigating and understanding the real world remains a key challenge in machine learning and inspires a great variety of research in areas such as language grounding, planning, navi…

cs.AI2018★ 1 cited

Improbotics: Exploring the Imitation Game using Machine Intelligence in Improvised Theatre

Kory W. Mathewson, Piotr Mirowski

Theatrical improvisation (impro or improv) is a demanding form of live, collaborative performance. Improv is a humorous and playful artform built on an open-ended narrative structu…

cs.AI2018★ 52 cited

Learning to Navigate in Cities Without a Map

Piotr Mirowski, Matthew Koichi Grimes, Mateusz Malinowski +7

Navigating through unstructured environments is a basic capability of intelligent creatures, and thus is of fundamental interest in the study and development of artificial intellig…

cs.AI2017★ 17 cited

Improvised Comedy as a Turing Test

Kory Wallace Mathewson, Piotr Mirowski

The best improvisational theatre actors can make any scene partner, of any skill level or ability, appear talented and proficient in the art form, and thus "make them shine". To ch…

cs.AI2017★ 53 cited

One-Shot Reinforcement Learning for Robot Navigation with Interactive Replay

Jake Bruce, Niko Suenderhauf, Piotr Mirowski +2

Recently, model-free reinforcement learning algorithms have been shown to solve challenging problems by learning from extensive interaction with the environment. A significant issu…

cs.AI2016★ 367 cited

Learning to Navigate in Complex Environments

Piotr Mirowski, Razvan Pascanu, Fabio Viola +9

Learning to navigate in complex environments with dynamic elements is an important milestone in developing AI agents. In this work we formulate the navigation question as a reinfor…