222 citations · 600 across the 46 of their papers we have counts for
4 papers · 1 filter
Sparse Training Theory for Scalable and Efficient Agents
Decebal Constantin Mocanu, Elena Mocanu, Tiago Pinto +5
A fundamental task for artificial intelligence is learning. Deep Neural Networks have proven to cope perfectly with all learning paradigms, i.e. supervised, unsupervised, and reinf…
Benchmarking for Bayesian Reinforcement Learning
Michael Castronovo, Damien Ernst, Adrien Couetoux +1
In the Bayesian Reinforcement Learning (BRL) setting, agents try to maximise the collected rewards while interacting with their environment while using some prior knowledge that is…
Monte Carlo Search Algorithm Discovery for One Player Games
Francis Maes, David Lupien St-Pierre, Damien Ernst
Much current research in AI and games is being devoted to Monte Carlo search (MCS) algorithms. While the quest for a single unified MCS algorithm that would perform well on all pro…
Meta-Learning of Exploration/Exploitation Strategies: The Multi-Armed Bandit Case
Francis Maes, Damien Ernst, Louis Wehenkel
The exploration/exploitation (E/E) dilemma arises naturally in many subfields of Science. Multi-armed bandit problems formalize this dilemma in its canonical form. Most current res…