activity
20152022
most citedLearning to Navigate in Complex Environments

367 citations · 521 across the 7 of their papers we have counts for

collaborators

15 papers

cs.HC20214 cited

Collaborative Storytelling with Human Actors and AI Narrators

Boyd Branch, Piotr Mirowski, Kory W. Mathewson

Large language models can be used for collaborative storytelling. In this work we report on using GPT-3 \cite{brown2020language} to co-narrate stories. The AI system must track plo…

cs.AI2021

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.LG2021

Skillful Precipitation Nowcasting using Deep Generative Models of Radar

Suman Ravuri, Karel Lenc, Matthew Willson +17

Precipitation nowcasting, the high-resolution forecasting of precipitation up to two hours ahead, supports the real-world socio-economic needs of many sectors reliant on weather-de…

cs.CV202020 cited

Retouchdown: Adding Touchdown to StreetLearn as a Shareable Resource for Language Grounding Tasks in Street View

Harsh Mehta, Yoav Artzi, Jason Baldridge +2

The Touchdown dataset (Chen et al., 2019) provides instructions by human annotators for navigation through New York City streets and for resolving spatial descriptions at a given l…

cs.CV2019

Cross-View Policy Learning for Street Navigation

Ang Li, Huiyi Hu, Piotr Mirowski +1

The ability to navigate from visual observations in unfamiliar environments is a core component of intelligent agents and an ongoing challenge for Deep Reinforcement Learning (RL).…

cs.AI201949 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…