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Balancing Exploration and Exploitation in Self-imitation Learning
Sparse reward tasks are always challenging in reinforcement learning. Learning such tasks requires both efficient exploitation and exploration to reduce the sample complexity. One line of research called self-imitation learning is recently proposed, which encourages the agent to do more exploitation...
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| 出版年: | Advances in Knowledge Discovery and Data Mining |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7206262/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-47436-2_21 |
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