Han La Poutré

Reinforcement Learning · 2000–2005

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 21 citations into it
• Artificial Intelligence — 18 citations into it; #10,520 of 35,345 by trust here, #16,771 by citations
• Management Science and Operations Research — 14 citations into it; #11,887 of 11,946 by trust here, #10,392 by citations
• Game & Decision Theory — 11 citations into it

Whom Han La Poutré trusts overall

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

1. Wolfgang Maass
2. Michael H. Bowling

Who trusts Han La Poutré overall

1. Filip Ponulak
2. Hesham Mostafa
3. J. Urgen Schmidhuber
4. Samanwoy Ghosh-Dastidar
5. Michael Pfeiffer
6. Andrzej J. Kasinski
7. Sumit Bam Shrestha

Papers from Han La Poutré's perspective

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

1. Reinforcement Learning: An Introduction
2. Markov Games as a Framework for Multi-Agent Reinforcement Learning
3. Reinforcement Learning: A Survey
4. Learning from delayed rewards
5. The Theory of Learning in Games
6. Neural Networks for Pattern Recognition
7. Correlated Q-Learning
8. Nash Convergence of Gradient Dynamics in General-Sum Games
9. Multiagent learning using a variable learning rate
10. Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm

Their papers

• Error-backpropagation in temporally encoded networks of spiking neurons (2000) — 1,033 citations
• An Overview of Cooperative and Competitive Multiagent Learning (2005) — 91 citations