Jan Leike

Artificial Intelligence · with Hutter · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it; #34,339 of 35,345 by trust here, #23,731 by citations
• Computational Theory and Mathematics — 7 citations into it

Whom Jan Leike trusts overall

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

1. Marcus Hutter
2. Laurent Orseau
3. Shane Legg
4. Richard S. Sutton

Who trusts Jan Leike overall

1. Tom Everitt
2. Jan Leike
3. Laurent Orseau

Papers from Jan Leike's perspective

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

1. Reinforcement Learning: An Introduction
2. Biometrika
3. An Approximation of the Universal Intelligence Measure
4. Asynchronous Methods for Deep Reinforcement Learning
5. ImageNet classification with deep convolutional neural networks
6. Universal Intelligence: A Definition of Machine Intelligence
7. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
8. The Arcade Learning Environment: An Evaluation Platform for General Agents
9. Asymptotic non-learnability of universal agents with computable horizon functions
10. Long Short-Term Memory

Their papers

• Thompson Sampling is Asymptotically Optimal in General Environments (2016) — 40 citations
• Bad Universal Priors and Notions of Optimality (2015) — 45 citations