Vijay R. Konda

Reinforcement Learning · 1999–2004

A researcher in the Science corpus: 4 papers; trusts 14 researchers and is trusted by 250 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 13 citations into it; #128 of 2,242 by trust here, #354 by citations
• Mathematical Optimization — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Vijay R. Konda trusts overall

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

1. John N. Tsitsiklis
2. Richard S. Sutton
3. Ronald J. Williams
4. Vivek Shripad Borkar
5. Peter Marbach
6. Sean P. Meyn
7. Benjamin Van Roy
8. Tommi S. Jaakkola
9. Satinder Singh
10. Dimitri P. Bertsekas

Who trusts Vijay R. Konda overall

1. Pawel Wawrzynski
2. Sergey Levine
3. Jan Peters
4. Huizhen Yu
5. Shalabh Bhatnagar
6. Mohammad Ghavamzadeh
7. Shie Mannor
8. Shixiang Shane Gu
9. Sham M. Kakade
10. Hado van Hasselt

Papers from Vijay R. Konda's perspective

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

1. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Reinforcement Learning: An Introduction
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Convergence rate of linear two-time-scale stochastic approximation (2004) — 162 citations
• OnActor-Critic Algorithms (2003) — 360 citations
• Actor-Critic Algorithms (1999)
• Actor-citic agorithms (1999)