Sharath Chandra Raparthy

Artificial Intelligence · 2021–2024

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it
• Reinforcement Learning — 29 citations into it
• Management Science and Operations Research — 15 citations into it

Whom Sharath Chandra Raparthy trusts overall

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

1. Richard S. Sutton
2. William T. B. Uther
3. Andrew Barto

Papers from Sharath Chandra Raparthy's perspective

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

1. Reinforcement Learning: An Introduction
2. Policy Gradient Methods for Reinforcement Learning with Function Approximation
3. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Overcoming catastrophic forgetting in neural networks
7. Progressive Neural Networks
8. Near-Optimal Reinforcement Learning in Polynomial Time
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem

Their papers

• Continual Learning In Environments With Polynomial Mixing Times (2021) — 17 citations
• The Llama 3 Herd of Models (2024) — 17,085 citations