Xiaobin Hu

Reinforcement Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 18 citations into it
• Artificial Intelligence — 17 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Xiaobin Hu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Krizhevsky

Papers from Xiaobin Hu's perspective

Ordered by how strongly the researchers Xiaobin Hu trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Long Short-Term Memory
3. Asynchronous Methods for Deep Reinforcement Learning
4. Human-level control through deep reinforcement learning
5. Playing Atari with Deep Reinforcement Learning (arXiv.org)
6. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
7. The Arcade Learning Environment: An Evaluation Platform for General Agents
8. Prioritized Experience Replay
9. Deep Reinforcement Learning with Double Q-Learning
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• Toward a Brain-Inspired System: Deep Recurrent Reinforcement Learning for a Simulated Self-Driving Agent (2019) — 7 citations