Gal Dalal

Reinforcement Learning · 2018

A researcher in the Science corpus: 3 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 27 citations into it
• Artificial Intelligence — 19 citations into it

Whom Gal Dalal trusts overall

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

1. Richard S. Sutton
2. Diederik P. Kingma
3. David Silver
4. R´emi Munos
5. Bruno Scherrer
6. Jonathan Baxter
7. Andrew Barto
8. E. Todorov
9. John Schulman
10. Brandon Amos

Who trusts Gal Dalal overall

1. Gabriel Dulac-Arnold
2. Mario Zanon
3. Adam Stooke
4. Yinlam Chow
5. Daniel Jaymin Mankowitz
6. Shangding Gu
7. Lukas Brunke
8. Sebastien Gros
9. Hado van Hasselt
10. Joshua Achiam

Papers from Gal Dalal's perspective

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

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

Their papers

• Safe Exploration in Continuous Action Spaces (2018) — 522 citations
• Beyond the One Step Greedy Approach in Reinforcement Learning (2018) — 55 citations
• Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning (2018) — 27 citations