Xiaoping Chen

Reinforcement Learning · with Bai · 2015

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 18 citations into it
• Artificial Intelligence — 12 citations into it

Whom Xiaoping Chen trusts overall

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

1. Andrew Barto
2. Martin L. Puterman
3. Thomas G. Dietterich
4. Richard S. Sutton
5. Sridhar Mahadevan
6. Levente Kocsis
7. Michael Kearns
8. David Andre
9. Eric A. Hansen
10. Blai Bonet

Papers from Xiaoping Chen's perspective

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

1. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
2. Markov Decision Processes: Discrete Stochastic Dynamic Programming
3. Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition
4. Learning to Act Using Real-Time Dynamic Programming
5. Reinforcement Learning: An Introduction
6. ImageNet classification with deep convolutional neural networks
7. Recent Advances in Hierarchical Reinforcement Learning
8. Gradient-based learning applied to document recognition
9. Finite-time Analysis of the Multiarmed Bandit Problem
10. Bandit Based Monte-Carlo Planning

Their papers

• Online Planning for Large Markov Decision Processes with Hierarchical Decomposition (2015) — 19 citations