Takayuki Akiyama

Tokyo Institute of Technology, Hitachi (Japan)

Papers

3

Total Citations

29

H-Index

2

About

No biography available yet.

Research Focus

Reinforcement learning3 · 29 citations
Artificial intelligence3 · 29 citations
Computer science3 · 29 citations
Function (biology)2 · 22 citations
Function approximation2 · 22 citations
Active learning (machine learning)2 · 22 citations
Artificial neural network2 · 22 citations
Bellman equation2 · 22 citations
Machine learning2 · 22 citations
Mathematical optimization2 · 22 citations
Mathematics2 · 22 citations
Sampling (signal processing)2 · 22 citations

Key Achievements

2
H-Index
3
Papers
29
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Efficient exploration through active learning for value function approximation in reinforcement learning
20 citations · 2010
📈 Most Prolific Year: 2010 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Tokyo Institute of Technology, Hitachi (Japan)

Top Papers

  1. 1
    Efficient exploration through active learning for value function approximation in reinforcement learning
    20 citations · 2010
  2. 2
    Experience Filtering for Robot Navigation using Deep Reinforcement Learning
    7 citations · 2018
  3. 3
    Active policy iteration: efficient exploration through active learning for value function approximation in reinforcement learning
    2 citations · 2009

Key Collaborators

HHHirotaka Hachiya2 shared papersMSMasashi Sugiyama2 shared papersPNPhong Nguyen1 shared papersHOHiroki Ohashi1 shared papers
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