Yangang Ren

Reinforcement Learning · 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 Yangang Ren 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
5. Volodymyr Mnih
6. Geoffrey E. Hinton

Papers from Yangang Ren's perspective

Ordered by how strongly the researchers Yangang Ren 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Human-level control through deep reinforcement learning
5. ImageNet classification with deep convolutional neural networks
6. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
7. Trust Region Policy Optimization (International Conference on Machine Learning)
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
10. Gradient-based learning applied to document recognition

Their papers

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