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Felipe Petroski Such — most-cited papers & profile · Reinforcement Learning
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overview
Felipe Petroski Such
4
papers ·
2146
citations
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning
2017 · 558 citations
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents
2017 · 116 citations
Generalized Hidden Parameter MDPs Transferable Model-based RL in a Handful of Trials
2020 · 21 citations
Top co-authors
Edoardo Conti
· 2
Jeff Clune
· 2
Joel Lehman
· 2
Kenneth O. Stanley
· 2
Vashisht Madhavan
· 2
Christian F. Perez
· 1
Theofanis Karaletsos
· 1
Topics
Exploration
Policy Gradient
Value-Based
Multi-Agent
Game AI
Model-Based RL
Meta-RL