Meng Zhang

Reinforcement Learning · with Guan · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 22 citations into it

Whom Meng Zhang trusts overall

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

1. Richard S. Sutton

Papers from Meng Zhang's perspective

Ordered by how strongly the researchers Meng Zhang 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. Deep Reinforcement Learning with Double Q-Learning
4. Transfer Learning for Reinforcement Learning Domains: A Survey
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation
7. ImageNet classification with deep convolutional neural networks
8. Gradient-based learning applied to document recognition
9. Mastering Atari, Go, chess and shogi by planning with a learned model (Nature)
10. Asynchronous Methods for Deep Reinforcement Learning

Their papers

• A Review of Deep Reinforcement Learning for Smart Building Energy Management (2020) — 357 citations