- 強化式學習算法
- 強化學習算法
- reinforcement: n. 1.增強，加固；補強物，強化物；補給品。 2.增援 ...
- learning: n. 學，學習；學問，學識；專門知識。 good at ...
- algorithm: n. 【數(shù)學】算法；規(guī)則系統(tǒng)；演段。
- linear reinforcement learning algorithm: 線性再勵學習算法
- learning algorithm: 演算法; 學習算法
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reinforcement learning algorithm中文什么意思
- 強化式學習算法
- 強化學習算法
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例句與用法
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- Risk - sensitive reinforcement learning algorithms with generalized average criterion
風險敏感度激勵學習的廣義平均算法 - A reinforcement learning algorithm based on process reward and prioritized sweeping is presented as interference solving strategy
本文提出了基于過程獎賞和優(yōu)先掃除的強化學習算法作為多機器人系統(tǒng)的沖突消解策略。 - ( 4 ) a new cooperation model called macm is presentd and based on this model , an improved distributed reinforcement learning algorithm is also proposed
( 4 )提出一種新的多agent協(xié)作模型macm及一種改進的分布式強化學習算法。 - In the first chapter of this paper , a comprehensive survey on the research of reinforcement learning algorithms , theory and applications is provided . the recent developments and future directions for mobile robot navigation are also discussed
本文的第一章對增強學習理論、算法和應用研究的發(fā)展情況進行了全面深入的綜述評論，同時分析了移動機器人導航控制的研究現(xiàn)狀和發(fā)展趨勢。 - Reinforcement learning has been applied to single agent environment successfully . due to the theoretical limitation that it assumes that an environment is markovian , traditional reinforcement learning algorithms cannot be applied directly to multi - agent system
由于強化學習理論的限制，在多智能體系統(tǒng)中馬爾科夫過程模型不再適用，因此不能把強化學習直接用于多智能體的協(xié)作學習問題。