Felipe Petroski Such

Rochester Institute of Technology

Papers

3

Total Citations

271

H-Index

3

About

No biography available yet.

Research Focus

Artificial intelligence3 · 271 citations
Computer science3 · 271 citations
Machine learning3 · 271 citations
Novelty2 · 264 citations
Population2 · 264 citations
Reinforcement learning2 · 264 citations
Artificial neural network2 · 264 citations
Scalability2 · 264 citations
Deep neural networks2 · 264 citations
Deep learning2 · 264 citations
Local optimum2 · 264 citations
Neuroevolution2 · 264 citations

Key Achievements

3
H-Index
3
Papers
271
Total Citations
90
Avg Citations/Paper
🏆 Most Cited Paper
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents
148 citations · 2018
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Rochester Institute of Technology

Top Papers

  1. 1
    Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents
    148 citations · 2018
  2. 2
    Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents
    116 citations · 2017
  3. 3
    Efficient transfer learning and online adaptation with latent variable models for continuous control
    7 citations · 2018

Key Collaborators

KOKenneth O. Stanley2 shared papersVMVashisht Madhavan2 shared papersJCJeff Clune2 shared papersECEdoardo Conti2 shared papersJLJoel Lehman2 shared papersCFChristian F. Perez1 shared papersTKTheofanis Karaletsos1 shared papers
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