39 citations · 117 across the 43 of their papers we have counts for
4 papers · 1 filter
The Co-Designed Post-Pandemic University: A Participatory and Continual Learning Approach for the Future of Work
Abhishek Gupta, Connor Wright
The pandemic has shattered the traditional enclosures of learning. The post-pandemic university (PPU) will no longer be contained within the 4 walls of a lecture theatre, and finis…
Autonomous Reinforcement Learning: Formalism and Benchmarking
Archit Sharma, Kelvin Xu, Nikhil Sardana +4
Reinforcement learning (RL) provides a naturalistic framing for learning through trial and error, which is appealing both because of its simplicity and effectiveness and because of…
Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation
Charles Sun, Jędrzej Orbik, Coline Devin +4
We study how robots can autonomously learn skills that require a combination of navigation and grasping. While reinforcement learning in principle provides for automated robotic sk…
Making Responsible AI the Norm rather than the Exception
Abhishek Gupta
This report prepared by the Montreal AI Ethics Institute provides recommendations in response to the National Security Commission on Artificial Intelligence (NSCAI) Key Considerati…