Suraj Narayanan Sasikumar

Reinforcement Learning · 2017

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 20 citations into it
• Artificial Intelligence — 18 citations into it
• Management Science and Operations Research — 6 citations into it

Whom Suraj Narayanan Sasikumar trusts overall

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

1. Alexander L. Strehl
2. Richard S. Sutton
3. Hado van Hasselt
4. Michael L. Littman
5. Andrew Barto
6. Volodymyr Mnih
7. Marc G. Bellemare
8. David Silver
9. Arthur Guez
10. Yitao Liang

Who trusts Suraj Narayanan Sasikumar overall

1. Marlos C. Machado
2. Youngwoon Lee

Papers from Suraj Narayanan Sasikumar's perspective

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

1. Reinforcement Learning: An Introduction
2. Asynchronous Methods for Deep Reinforcement Learning
3. ImageNet classification with deep convolutional neural networks
4. The Arcade Learning Environment: An Evaluation Platform for General Agents
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
10. Deep Exploration via Bootstrapped DQN

Their papers

• Count-Based Exploration in Feature Space for Reinforcement Learning (2017) — 132 citations