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• CEM-RL: Combining evolutionary and gradient-based methods for policy search
  2018 · 95 citations
• GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms
  2018 · 77 citations
• The problem with DDPG: understanding failures in deterministic environments with sparse rewards
  2019 · 62 citations
• Combining Evolution and Deep Reinforcement Learning for Policy Search: a Survey
  2022 · 48 citations
• CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning
  2018 · 42 citations
• Investigating Generalisation in Continuous Deep Reinforcement Learning
  2019 · 34 citations
• Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning
  2023 · 31 citations
• Accuracy-based Curriculum Learning in Deep Reinforcement Learning
  2018 · 24 citations