Vinay Pratap Singh

Reinforcement Learning · 2021

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 42 citations into it
• Artificial Intelligence — 30 citations into it
• Computational Theory and Mathematics — 10 citations into it
• Robotics & Control — 5 citations into it

Whom Vinay Pratap Singh trusts overall

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

1. John N. Tsitsiklis
2. Leemon C. Baird III
3. Jan Peters
4. Geoffrey J. Gordon
5. Justin A. Boyan
6. Richard S. Sutton
7. Ian H. Witten
8. Marc Peter Deisenroth
9. Vijay R. Konda
10. Dimitri P. Bertsekas

Papers from Vinay Pratap Singh's perspective

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

1. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
2. Reinforcement Learning: An Introduction
3. ImageNet classification with deep convolutional neural networks
4. Markov Decision Processes: Discrete Stochastic Dynamic Programming
5. Residual Algorithms: Reinforcement Learning with Function Approximation
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Gradient-based learning applied to document recognition
8. Stable Function Approximation in Dynamic Programming
9. Long Short-Term Memory
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Reinforcement learning in robotic applications: a comprehensive survey (2021) — 426 citations