90 citations · 339 across the 37 of their papers we have counts for
3 papers · 1 filter
Geometric Deep Reinforcement Learning for Dynamic DAG Scheduling
Nathan Grinsztajn, Olivier Beaumont, Emmanuel Jeannot +1
In practice, it is quite common to face combinatorial optimization problems which contain uncertainty along with non-determinism and dynamicity. These three properties call for app…
Learning Value Functions in Deep Policy Gradients using Residual Variance
Yannis Flet-Berliac, Reda Ouhamma, Odalric-Ambrym Maillard +1
Policy gradient algorithms have proven to be successful in diverse decision making and control tasks. However, these methods suffer from high sample complexity and instability issu…
A Machine of Few Words -- Interactive Speaker Recognition with Reinforcement Learning
Mathieu Seurin, Florian Strub, Philippe Preux +1
Speaker recognition is a well known and studied task in the speech processing domain. It has many applications, either for security or speaker adaptation of personal devices. In th…