Michael J. Quinlan
Reinforcement Learning · 2010–2011
A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 19 citations into it
- Artificial Intelligence — 9 citations into it; #10,009 of 35,345 by trust here, #20,836 by citations
Whom Michael J. Quinlan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- Ben J. A. Kröse
- Ronen I. Brafman
- Andrew Y. Ng
- Longxin Lin
- Andrew Barto
- J. Ross Quinlan
- Morgan Quigley
- Michail G. Lagoudakis
- Peter Stone
Who trusts Michael J. Quinlan overall
- Todd Hester
- Peter Stone
- Matthew J. Hausknecht
- Javier García
- J. Krichmar
- Samuel Barrett
- Konstantinos Chatzilygeroudis
- Aaron M. Roth
Papers from Michael J. Quinlan's perspective
Ordered by how strongly the researchers Michael J. Quinlan trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- RTMBA: A Real-Time Model-Based Reinforcement Learning Architecture for robot control (2011) — 88 citations
- Generalized model learning for Reinforcement Learning on a humanoid robot (2010) — 113 citations