Yash Oza

Reinforcement Learning · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 12 citations into it
• Artificial Intelligence — 9 citations into it
• Computational Theory and Mathematics — 6 citations into it

Whom Yash Oza trusts overall

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

1. Christopher G. Atkeson
2. Richard S. Sutton
3. Andrew Barto
4. Steven M. LaValle
5. Sham M. Kakade
6. Nicholas K. Jong
7. Stefan Schaal
8. Michael Kearns
9. Satinder Singh
10. Michael Janner

Papers from Yash Oza's perspective

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

1. Human-level control through deep reinforcement learning
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. MuJoCo: A physics engine for model-based control
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Reinforcement Learning: An Introduction
9. Attention is All you Need (Neural Information Processing Systems)
10. Near-Optimal Reinforcement Learning in Polynomial Time

Their papers

• Planning and Execution using Inaccurate Models with Provable Guarantees (2020) — 20 citations