Chris HolmesParker

Reinforcement Learning · 2013–2016

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 14 citations into it
• Artificial Intelligence — 10 citations into it; #28,780 of 35,345 by trust here, #31,361 by citations

Whom Chris HolmesParker trusts overall

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

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

Who trusts Chris HolmesParker overall

1. Afshin Oroojlooyjadid
2. Davood Hajinezhad
3. David Balduzzi

Papers from Chris HolmesParker's perspective

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

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

Their papers

• Combining reward shaping and hierarchies for scaling to large multiagent systems (2016) — 15 citations
• Counterfactual Exploration for Improving Multiagent Learning (2015) — 12 citations
• Exploiting structure and utilizing agent-centric rewards to promote coordination in large multiagent systems (2013) — 8 citations