Hao Wang

Reinforcement Learning · with An · 2016

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 — 12 citations into it
• Artificial Intelligence — 8 citations into it

Whom Hao Wang trusts overall

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

1. Richard S. Sutton
2. Andrew Barto
3. Fernando Fernández
4. Kimberly Ferguson
5. Xuejun Liao
6. Leslie Pack Kaelbling

Papers from Hao Wang's perspective

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

1. Reinforcement Learning: An Introduction
2. Markov Decision Processes: Discrete Stochastic Dynamic Programming
3. Reinforcement Learning: A Survey
4. Transfer Learning for Reinforcement Learning Domains: A Survey
5. Decision-Theoretic Planning: Structural Assumptions and Computational Leverage
6. Probabilistic policy reuse in a reinforcement learning agent
7. Proto-transfer Learning in Markov Decision Processes Using Spectral Methods
8. Metrics for Finite Markov Decision Processes
9. Transfer in Reinforcement Learning: A Framework and a Survey
10. Transfer in Reinforcement Learning via Shared Features

Their papers

• Measuring the Distance Between Finite Markov Decision Processes (2016) — 79 citations