Pravesh Ranchod

Reinforcement Learning · 2015

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 10 citations into it
• Artificial Intelligence — 6 citations into it; #21,552 of 35,345 by trust here, #27,551 by citations

Whom Pravesh Ranchod trusts overall

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

1. Marc Peter Deisenroth
2. Jan Peters
3. Richard S. Sutton
4. Christopher J. C. H. Watkins
5. Shalabh Bhatnagar
6. Peter S. Dayan
7. Stefan Schaal

Who trusts Pravesh Ranchod overall

1. Matthew J. Hausknecht
2. Ermo Wei
3. Rohan Chitnis

Papers from Pravesh Ranchod's perspective

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

1. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
2. ImageNet classification with deep convolutional neural networks
3. Reinforcement Learning: An Introduction
4. Natural Actor-Critic
5. A Survey on Policy Search for Robotics
6. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
7. Gradient-based learning applied to document recognition
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Multi-task policy search for robotics
10. Learning Parameterized Skills

Their papers

• Reinforcement Learning with Parameterized Actions (2015) — 263 citations