Stephanie Wang
with Jordan · 2017
A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Who trusts Stephanie Wang overall
Papers from Stephanie Wang's perspective
Ordered by how strongly the researchers Stephanie Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Asynchronous Methods for Deep Reinforcement Learning
- Human-level control through deep reinforcement learning
- Reinforcement Learning: An Introduction
- ImageNet classification with deep convolutional neural networks
- Proximal Policy Optimization Algorithms (arXiv.org)
- MuJoCo: A physics engine for model-based control
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- The Arcade Learning Environment: An Evaluation Platform for General Agents
- Mastering the game of Go with deep neural networks and tree search
- Gradient-based learning applied to document recognition
Their papers
- Ray: A Distributed Framework for Emerging AI Applications (2017) — 1,702 citations