Pieter Jan't Hoen
Reinforcement Learning · 2005
A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 37 citations into it
- Artificial Intelligence — 24 citations into it; #17,687 of 35,345 by trust here, #21,878 by citations
- Management Science and Operations Research — 17 citations into it; #11,888 of 11,946 by trust here, #10,392 by citations
- Game & Decision Theory — 16 citations into it
Whom Pieter Jan't Hoen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- Michael L. Littman
- Michael H. Bowling
- Andrew Barto
- R. May
- Rob Powers
- Carlos Guestrin
- Craig Boutilier
- Kurt Driessens
- John N. Tsitsiklis
Who trusts Pieter Jan't Hoen overall
Papers from Pieter Jan't Hoen's perspective
Ordered by how strongly the researchers Pieter Jan't Hoen trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- ImageNet classification with deep convolutional neural networks
- Markov Games as a Framework for Multi-Agent Reinforcement Learning
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Reinforcement Learning: A Survey
- Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- An Evolutionary Dynamical Analysis of Multi-Agent Learning in Iterated Games (2005) — 165 citations
- An Overview of Cooperative and Competitive Multiagent Learning (2005) — 91 citations
- Utile Coordination: Learning Interdependencies Among Cooperative Agents (2005) — 75 citations