Prashanth L.A.

Reinforcement Learning · 2013

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 7 citations into it
• Artificial Intelligence — 5 citations into it

Whom Prashanth L.A. trusts overall

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

1. James C. Spall
2. Richard S. Sutton
3. Jan Peters
4. Shalabh Bhatnagar
5. Martin L. Puterman
6. Sethu Vijayakumar
7. Shie Mannor
8. David A. McAllester
9. Stefan Schaal
10. Satinder Singh

Who trusts Prashanth L.A. overall

1. Yinlam Chow
2. Aviv Tamar
3. Mohammad Ghavamzadeh
4. Yonatan Glassner
5. Shie Mannor
6. Martha White
7. Lucas Janson

Papers from Prashanth L.A.'s perspective

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

1. Markov Decision Processes: Discrete Stochastic Dynamic Programming
2. Policy Gradient Methods for Reinforcement Learning with Function Approximation
3. ImageNet classification with deep convolutional neural networks
4. Reinforcement Learning: An Introduction
5. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
6. Natural Actor-Critic
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Natural actor-critic algorithms
9. Long Short-Term Memory
10. Gradient-based learning applied to document recognition

Their papers

• Actor-Critic Algorithms for Risk-Sensitive MDPs (2013) — 141 citations