Prahlad Vadakkepat

Reinforcement Learning · 2000–2017

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 26 citations into it
• Artificial Intelligence — 21 citations into it
• Control and Systems Engineering — 9 citations into it
• Biomedical Engineering — 6 citations into it

Whom Prahlad Vadakkepat trusts overall

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

1. Marc Peter Deisenroth
2. Jan Peters
3. Carl E. Rasmussen
4. Gerhard Neumann
5. Stefan Schaal
6. Jeff Schneider
7. Richard S. Sutton

Who trusts Prahlad Vadakkepat overall

1. Nguyen Cong Luong
2. Dinh Thai Hoang

Papers from Prahlad Vadakkepat's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Reinforcement Learning: An Introduction
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. Relative Entropy Policy Search
9. PILCO: A Model-Based and Data-Efficient Approach to Policy Search
10. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

Their papers

• Model-based contextual policy search for data-efficient generalization of robot skills (2017) — 80 citations
• Evolutionary artificial potential fields and their application in real time robot path planning (2000) — 369 citations