Jing-Cheng Pang

Reinforcement Learning · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 18 citations into it
• Artificial Intelligence — 15 citations into it

Whom Jing-Cheng Pang trusts overall

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

1. Longxin Lin
2. Richard S. Sutton
3. Sham M. Kakade

Papers from Jing-Cheng Pang's perspective

Ordered by how strongly the researchers Jing-Cheng Pang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Reinforcement Learning: An Introduction
2. Human-level control through deep reinforcement learning
3. MuJoCo: A physics engine for model-based control
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Prioritized Experience Replay
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Regret Minimization Experience Replay in Off-Policy Reinforcement Learning (2021) — 49 citations