3.1k citations · 4.1k across the 30 of their papers we have counts for
3 papers · 1 filter
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
Mikayel Samvelyan, Robert Kirk, Vitaly Kurin +7
Progress in deep reinforcement learning (RL) is heavily driven by the availability of challenging benchmarks used for training agents. However, benchmarks that are widely adopted b…
Concept Matching for Low-Resource Classification
Federico Errica, Ludovic Denoyer, Bora Edizel +4
We propose a model to tackle classification tasks in the presence of very little training data. To this aim, we approximate the notion of exact match with a theoretically sound mec…
Unsupervised Features Extraction for Binary Similarity Using Graph Embedding Neural Networks
Roberto Baldoni, Giuseppe Antonio Di Luna, Luca Massarelli +2
In this paper we consider the binary similarity problem that consists in determining if two binary functions are similar only considering their compiled form. This problem is know…