Francisco M. Garcia

Reinforcement Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 14 citations into it
• Artificial Intelligence — 13 citations into it; #17,084 of 35,345 by trust here, #29,412 by citations

Whom Francisco M. Garcia trusts overall

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

1. Ronald J. Williams
2. Stephen W. Carden
3. Andrew Barto
4. John Schulman
5. Philip S. Thomas
6. Chelsea Finn
7. Richard S. Sutton
8. Amy McGovern
9. Sandeep Goel
10. Pieter Abbeel

Who trusts Francisco M. Garcia overall

1. Jorge Armando Mendez Mendez
2. Clemens Rosenbaum
3. Eric Eaton
4. Ignacio Cases
5. Matthew Riemer

Papers from Francisco M. Garcia's perspective

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

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

Their papers

• A Meta-MDP Approach to Exploration for Lifelong Reinforcement Learning (2019) — 46 citations