Generative adversarial networks
Generative adversarial networks are a kind of artificial intelligence algorithm designed to solve the generative modeling problem. The goal of a generative model is to study a c...
Publications
2 shownAsynchronous Methods for Deep Reinforcement Learning
We propose a conceptually simple and lightweight framework for deep reinforcement learning that uses asynchronous gradient descent for optimization of deep neural network contro...
Frequent Co-Authors
Researcher Info
- h-index
- 2
- Publications
- 2
- Citations
- 13,519
- Institution
- Université de Montréal
External Links
Identifiers
- ORCID
- 0000-0002-0969-9992
Impact Metrics
h-index
2
h-index: Number of publications with at least h citations each.