246 citations · 491 across the 14 of their papers we have counts for
4 papers
TorchCraft: a Library for Machine Learning Research on Real-Time Strategy Games
Gabriel Synnaeve, Nantas Nardelli, Alex Auvolat +5
We present TorchCraft, a library that enables deep learning research on Real-Time Strategy (RTS) games such as StarCraft: Brood War, by making it easier to control these games from…
Wav2Letter: an End-to-End ConvNet-based Speech Recognition System
Ronan Collobert, Christian Puhrsch, Gabriel Synnaeve
This paper presents a simple end-to-end model for speech recognition, combining a convolutional network based acoustic model and a graph decoding. It is trained to output letters,…
Episodic Exploration for Deep Deterministic Policies: An Application to StarCraft Micromanagement Tasks
Nicolas Usunier, Gabriel Synnaeve, Zeming Lin +1
We consider scenarios from the real-time strategy game StarCraft as new benchmarks for reinforcement learning algorithms. We propose micromanagement tasks, which present the proble…
Weakly Supervised Multi-Embeddings Learning of Acoustic Models
Gabriel Synnaeve, Emmanuel Dupoux
We trained a Siamese network with multi-task same/different information on a speech dataset, and found that it was possible to share a network for both tasks without a loss in perf…