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• 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
• Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft
  2021 · 9 citations
• Deep Curiosity Search: Intra-Life Exploration Can Improve Performance on Challenging Deep Reinforcement Learning Problems
  2018 · 5 citations
• Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods
  2020 · 5 citations
• Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization
  2023 · 5 citations
• First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs
  2023