49 citations · 55 across the 2 of their papers we have counts for
5 papers
Using Unity to Help Solve Intelligence
Tom Ward, Andrew Bolt, Nik Hemmings +10
In the pursuit of artificial general intelligence, our most significant measurement of progress is an agent's ability to achieve goals in a wide range of environments. Existing pla…
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…
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…
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…
Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents
Joel Z. Leibo, Cyprien de Masson d'Autume, Daniel Zoran +10
Psychlab is a simulated psychology laboratory inside the first-person 3D game world of DeepMind Lab (Beattie et al. 2016). Psychlab enables implementations of classical laboratory…