Stefan Wender

Reinforcement Learning · 2012

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 5 citations into it

Whom Stefan Wender trusts overall

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

1. Richard S. Sutton
2. Gavin Adrian Rummery
3. John Edwin Laird
4. Andrew Barto
5. Mahesan Niranjan
6. Ben J. A. Kröse
7. Michael van Lent
8. Ben George Weber

Who trusts Stefan Wender overall

1. David Churchill
2. Nicolas Usunier
3. Kun Shao
4. Siming Liu
5. Gabriel Synnaeve
6. Yuanheng Zhu
7. Sushil J. Louis
8. Zeming Lin
9. Dongbin Zhao
10. Soumith Chintala

Papers from Stefan Wender's perspective

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

1. Reinforcement Learning: An Introduction
2. On-line Q-learning using connectionist systems
3. Learning from delayed rewards
4. Human-Level AI's Killer Application: Interactive Computer Games (The AI Magazine)
5. A data mining approach to strategy prediction
6. Reinforcement Learning for Robots Using Neural Networks
7. Gradient-based learning applied to document recognition
8. On the Convergence of Stochastic Iterative Dynamic Programming Algorithms
9. Dynamic Programming: Deterministic and Stochastic Models
10. Efficient Learning and Planning Within the Dyna Framework

Their papers

• Applying reinforcement learning to small scale combat in the real-time strategy game StarCraft:Broodwar (2012) — 111 citations