Qi Sun

Reinforcement Learning · with Cheng · 2020

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 32 citations into it
• Artificial Intelligence — 27 citations into it

Whom Qi Sun trusts overall

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

1. Richard S. Sutton
2. Diederik P. Kingma
3. John Schulman
4. Hado van Hasselt

Papers from Qi Sun's perspective

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

1. Reinforcement Learning: An Introduction
2. Asynchronous Methods for Deep Reinforcement Learning
3. Human-level control through deep reinforcement learning
4. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
5. Trust Region Policy Optimization (International Conference on Machine Learning)
6. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. MuJoCo: A physics engine for model-based control
9. Proximal Policy Optimization Algorithms (arXiv.org)
10. ImageNet classification with deep convolutional neural networks

Their papers

• Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors (2020) — 317 citations