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Edoardo Conti — most-cited papers & profile · Reinforcement Learning
← authors
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overview
Edoardo Conti
4
papers ·
924
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning
2017 · 558 citations
Benchmarking Batch Deep Reinforcement Learning Algorithms
2019 · 160 citations
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents
2017 · 116 citations
Horizon: Facebook's Open Source Applied Reinforcement Learning Platform
2018 · 90 citations
Top co-authors
Felipe Petroski Such
· 2
Jeff Clune
· 2
Joel Lehman
· 2
Kenneth O. Stanley
· 2
Scott Fujimoto
· 2
Vashisht Madhavan
· 2
Jason Gauci
· 1
Joelle Pineau
· 1
Kittipat Virochsiri
· 1
Mohammad Ghavamzadeh
· 1
Vivek Narayanan
· 1
Xiaohui Ye
· 1
Topics
Value-Based
Exploration
Policy Gradient
Game AI
Offline RL
Multi-Agent
Model-Based RL