Gautham Vasan

Reinforcement Learning · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 24 citations into it; #1,895 of 2,242 by trust here, #2,222 by citations
• Artificial Intelligence — 19 citations into it

Whom Gautham Vasan trusts overall

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

1. Richard S. Sutton
2. Sergey Levine
3. Yoshua Bengio
4. James Bergstra
5. Geoffrey E. Hinton
6. Pieter Abbeel
7. John Schulman
8. Volodymyr Mnih
9. David Silver

Who trusts Gautham Vasan overall

1. David Barber
2. Zheng Tian
3. Thomas W. Anthony

Papers from Gautham Vasan's perspective

Ordered by how strongly the researchers Gautham Vasan 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. Reinforcement Learning: An Introduction
5. Gradient-based learning applied to document recognition
6. Human-level control through deep reinforcement learning
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Trust Region Policy Optimization (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Benchmarking Reinforcement Learning Algorithms on Real-World Robots (2018) — 189 citations
• Neurohex: A Deep Q-learning Hex Agent (2016) — 25 citations