Samuel Sokota

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Reinforcement Learning — 9 citations into it

Whom Samuel Sokota trusts overall

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

1. Levente Kocsis
2. Thomas W. Anthony
3. Richard S. Sutton
4. David Silver
5. Csaba Szepesvari
6. Rémi Coulom
7. N. Ferns
8. Marc Lanctot
9. Zheng Tian

Papers from Samuel Sokota's perspective

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

1. Reinforcement Learning: An Introduction
2. Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search
3. Bandit Based Monte-Carlo Planning
4. A Survey of Monte Carlo Tree Search Methods
5. Human-level control through deep reinforcement learning
6. ImageNet classification with deep convolutional neural networks
7. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Asynchronous Methods for Deep Reinforcement Learning
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Monte Carlo Tree Search With Iteratively Refining State Abstractions (2021) — 22 citations