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Kenneth O. Stanley — most-cited papers & profile · Reinforcement Learning
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Kenneth O. Stanley
6
papers ·
908
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
Go-Explore: a New Approach for Hard-Exploration Problems
2019 · 228 citations
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents
2017 · 116 citations
Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods
2020 · 5 citations
Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural Architectures
2020
Top co-authors
Jeff Clune
· 4
Joel Lehman
· 3
Edoardo Conti
· 2
Felipe Petroski Such
· 2
Vashisht Madhavan
· 2
Adrien Ecoffet
· 1
Jiale Zhi
· 1
Joost Huizinga
· 1
Rui Wang
· 1
Sebastian Risi
· 1
Topics
Exploration
Policy Gradient
Value-Based
Game AI
Model-Based RL
Meta-RL
Multi-Agent