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- 内部 英治
- 国際電気通信基礎技術研究所
書誌事項
- タイトル別名
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- Sample Reuse with Adaptive Multiple Importance Sampling for Policy Search
抄録
<p>In policy search methods, importance sampling is widely used to reutilize samples drawn from previous sampling distributions that are usually different from the current one. Previous studies create uniform mixtures of previous sampling distributions as proposal distribution. To further improve sample efficiency, we introduce adaptive multiple importance sampling that optimizes the mixing coefficients to minimize the variance of the importance sampling estimator. We apply the proposed method to several policy search methods and experimental results on some benchmark control tasks show that all the methods improve sample efficiency.</p>
収録刊行物
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- ロボティクス・メカトロニクス講演会講演概要集
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ロボティクス・メカトロニクス講演会講演概要集 2018 (0), 1A1-E13-, 2018
一般社団法人 日本機械学会
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詳細情報 詳細情報について
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- CRID
- 1390282763080204672
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- NII論文ID
- 130007550888
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- ISSN
- 24243124
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可