Chris HomesParker

Reinforcement Learning · 2014

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 9 citations into it; #1,272 of 2,242 by trust here, #2,125 by citations

Whom Chris HomesParker trusts overall

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

1. Carlos Guestrin
2. Richard S. Sutton
3. Craig Boutilier
4. Daphne Koller
5. Thomas Degris
6. Andrew Barto
7. Ronald E. Parr
8. P. Shanti Sastry
9. Shimon Whiteson
10. Thomas L. Dean

Who trusts Chris HomesParker overall

1. Afshin Oroojlooyjadid
2. Davood Hajinezhad
3. Kyunghwan Son
4. Yaodong Yang

Papers from Chris HomesParker's perspective

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

1. Reinforcement Learning: An Introduction
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Exploiting Structure and Agent-Centric Rewards to Promote Coordination in Large Multiagent Systems (2014)