Savas Piperidis

Reinforcement Learning · 2009

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 10 citations into it; #1,429 of 2,242 by trust here, #1,705 by citations
• Artificial Intelligence — 9 citations into it; #19,845 of 35,345 by trust here, #20,836 by citations

Whom Savas Piperidis trusts overall

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

1. Richard S. Sutton
2. Radford M. Neal
3. Jan Peters
4. Andrew Y. Ng

Who trusts Savas Piperidis overall

1. Gerhard Neumann

Papers from Savas Piperidis's perspective

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

1. Reinforcement Learning: An Introduction
2. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
3. Natural Actor-Critic
4. A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants
5. Neuro-Dynamic Programming
6. PEGASUS: A policy search method for large MDPs and POMDPs
7. Reinforcement learning of motor skills with policy gradients
8. ImageNet classification with deep convolutional neural networks
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Gradient-based learning applied to document recognition

Their papers

• Learning model-free robot control by a Monte Carlo EM algorithm (2009) — 87 citations