Takayuki Akiyama

Reinforcement Learning · 2009

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

Subfields

• Reinforcement Learning — 8 citations into it; #2,200 of 2,242 by trust here, #2,125 by citations
• Artificial Intelligence — 6 citations into it

Whom Takayuki Akiyama trusts overall

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

1. Richard S. Sutton
2. Dimitri P. Bertsekas
3. Sham M. Kakade
4. Lotfi A. Zadeh
5. Doina Precup
6. Michail G. Lagoudakis
7. Andrew Barto
8. Masashi Sugiyama

Who trusts Takayuki Akiyama overall

1. A. Mahmood
2. Masashi Sugiyama
3. Xue Bin Peng
4. Syogo Mori
5. Travis Mandel

Papers from Takayuki Akiyama's perspective

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

1. Reinforcement Learning: An Introduction
2. Eligibility Traces for Off-Policy Policy Evaluation
3. Least-Squares Policy Iteration
4. A Natural Policy Gradient
5. ImageNet classification with deep convolutional neural networks
6. Off-Policy Temporal Difference Learning with Function Approximation
7. Gradient-based learning applied to document recognition
8. Neuro-Dynamic Programming
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. The Elements of Statistical Learning: Data Mining, Inference, and Prediction

Their papers

• Adaptive importance sampling for value function approximation in off-policy reinforcement learning (2009) — 51 citations