Pratik Shah

Reinforcement Learning · with Yauney · 2018

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 11 citations into it

Whom Pratik Shah trusts overall

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

1. Leslie Pack Kaelbling
2. Hado van Hasselt
3. Richard S. Sutton
4. David Silver
5. Volodymyr Mnih
6. Andrew Y. Ng
7. Michael L. Littman

Who trusts Pratik Shah overall

1. Chao Yu
2. Stefan Harrer
3. Yujie You

Papers from Pratik Shah's perspective

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

1. Reinforcement Learning: An Introduction
2. Human-level control through deep reinforcement learning
3. Mastering the game of Go with deep neural networks and tree search
4. Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping
5. Deep Reinforcement Learning with Double Q-Learning
6. Reinforcement Learning: A Survey
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Gradient-based learning applied to document recognition
9. ImageNet classification with deep convolutional neural networks
10. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

Their papers

• Reinforcement Learning with Action-Derived Rewards for Chemotherapy and Clinical Trial Dosing Regimen Selection (2018) — 80 citations