Zhaojian Li

Reinforcement Learning · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 16 citations into it
• Control and Systems Engineering — 8 citations into it
• Artificial Intelligence — 6 citations into it

Whom Zhaojian Li trusts overall

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

1. Marco A. Wiering
2. Ronald J. Williams
3. Richard S. Sutton
4. Csaba Szepesvari
5. Shalabh Bhatnagar
6. van der D David Pol

Papers from Zhaojian Li's perspective

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

1. Long Short-Term Memory
2. Reinforcement Learning: An Introduction
3. Human-level control through deep reinforcement learning
4. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
5. Gradient-based learning applied to document recognition
6. Asynchronous Methods for Deep Reinforcement Learning
7. ImageNet classification with deep convolutional neural networks
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Policy Gradient Methods for Reinforcement Learning with Function Approximation
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• System Design and Control of an Apple Harvesting Robot (2020) — 386 citations
• Multi-Agent Deep Reinforcement Learning for Large-Scale Traffic Signal Control (2019) — 870 citations