Kavitha Lakshmanan

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it
• Management Science and Operations Research — 5 citations into it
• Reinforcement Learning — 5 citations into it

Whom Kavitha Lakshmanan trusts overall

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

1. Robert D. Kleinberg
2. Michael Kearns
3. Peter L. Bartlett
4. Yasin Abbasi-Yadkori
5. Thomas Jaksch
6. Guanghua Hu
7. Peter Auer
8. Satinder Singh
9. Csaba Szepesvari
10. Ambuj Tewari

Who trusts Kavitha Lakshmanan overall

1. Ronan Fruit
2. Omar Darwiche Domingues
3. Matteo Pirotta
4. Pierre M'enard

Papers from Kavitha Lakshmanan's perspective

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

1. Near-Optimal Reinforcement Learning in Polynomial Time
2. Near-optimal Regret Bounds for Reinforcement Learning
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. The Nonstochastic Multiarmed Bandit Problem
6. Reinforcement Learning: An Introduction
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Asymptotically Efficient Adaptive Allocation Rules
9. Gradient-based learning applied to document recognition
10. Markov Decision Processes: Discrete Stochastic Dynamic Programming

Their papers

• Improved Regret Bounds for Undiscounted Continuous Reinforcement Learning (2015) — 41 citations