Tzyh Jong Tarn

Reinforcement Learning · 2008

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 11 citations into it
• Artificial Intelligence — 6 citations into it

Whom Tzyh Jong Tarn trusts overall

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

1. Richard S. Sutton
2. Andrew Barto

Papers from Tzyh Jong Tarn's perspective

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

1. Reinforcement Learning: An Introduction
2. Neuro-Dynamic Programming
3. Learning to predict by the methods of temporal differences
4. Evolutionary Function Approximation for Reinforcement Learning
5. Effective reinforcement learning for mobile robots
6. HQ-Learning
7. Multi-armed Bandit Algorithms and Empirical Evaluation
8. Experimental realization of Shor's quantum factoring algorithm using nuclear magnetic resonance (Nature)
9. Gradient-based learning applied to document recognition
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• Quantum Reinforcement Learning (2008) — 425 citations