489 citations · 1.3k across the 9 of their papers we have counts for
3 papers · 1 filter
Semantic Segmentation using Adversarial Networks
Pauline Luc, Camille Couprie, Soumith Chintala +1
Adversarial training has been shown to produce state of the art results for generative image modeling. In this paper we propose an adversarial training approach to train semantic s…
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…
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…