Ajay Kumar Tanwani

Artificial Intelligence · 2013–2022

A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 77 citations into it
• Reinforcement Learning — 27 citations into it
• Molecular Biology — 10 citations into it
• Management Science and Operations Research — 8 citations into it
• Optimization & Training — 6 citations into it

Whom Ajay Kumar Tanwani trusts overall

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

1. Richard S. Sutton
2. Reuven Y. Rubinstein
3. Robert A. Jacobs
4. Pawel Wawrzynski
5. Andrew Barto
6. Abraham P. George
7. Ronald J. Williams
8. Yaakov Engel
9. Vijay R. Konda
10. John N. Tsitsiklis

Who trusts Ajay Kumar Tanwani overall

1. Timothy P. Lillicrap

Papers from Ajay Kumar Tanwani's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Reinforcement Learning: An Introduction
3. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
4. Attention is All you Need (Neural Information Processing Systems)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. ImageNet classification with deep convolutional neural networks
7. Gradient-based learning applied to document recognition
8. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
9. Policy Gradient Methods for Reinforcement Learning with Function Approximation
10. Long Short-Term Memory

Their papers

• Large language models encode clinical knowledge (2022) — 4,703 citations
• Autonomous reinforcement learning with experience replay. (2013) — 58 citations
• Deep Imitation Learning of Sequential Fabric Smoothing Policies (2019) — 30 citations