11 citations · 20 across the 8 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
cs.CL2020
On the importance of pre-training data volume for compact language models
Vincent Micheli, Martin d'Hoffschmidt, François Fleuret
Recent advances in language modeling have led to computationally intensive and resource-demanding state-of-the-art models. In an effort towards sustainable practices, we study the…
cs.LG2020★ 1 cited
Multi-task Reinforcement Learning with a Planning Quasi-Metric
Vincent Micheli, Karthigan Sinnathamby, François Fleuret
We introduce a new reinforcement learning approach combining a planning quasi-metric (PQM) that estimates the number of steps required to go from any state to another, with task-sp…