japs 中文意思是什麼

japs 解釋
雅普斯
  1. An gruff general asked, "who'd want to march into battle with a regiment of japs behind him? "

    一個愛找碴兒的將軍問道：「敢問哪位願意背後跟著一串日本佬去上陣？」
  2. The japs were really throwing everything in.

    現在日本人可真是在孤注一擲了。
  3. Well, the japs haven't done that, have they ?

    嗯，日本人還沒使出這一招，對嗎？
  4. Them japs sure know how to hold a grudge, don ' t they

    日本鬼子不是很記仇的嗎？
  5. The unit under gao guizi command trained the gun on the japs

    高桂滋部對日抗戰
  6. The japs had so much cash they couldn ' t spend it

    日本人有大筆現金無處可花
  7. In case the japs send reinforcements from cabanatuan city

    以防日軍從甲萬那端市調兵增援
  8. With an eye to the large space of the state and action, the notions of “ generalization of state ” and “ generalization of action ” are defined, which are used to cut short the state space. since every agent can get similar experiences while learing, a experiences sharing method is proposed to improve the efficiency of learning in this method. however, by using the tsgs - based framework, macrl - japs is proposed. on the purpose of solving the multi - equilibria problem in games, the notion of japs is brought in. this method can ensure the agent to exactly predict the actions of others, and then to achieve the same optimal equilibrium selection

    Macrl - cc在對系統目標的特性進行分析的基礎上，將系統目標進行分解，並採用基於承諾和約定的協作方法實現agent的協作求解;考慮到狀態行為空間可能很大的問題，提出了狀態和行為的泛化的概念，對狀態空間進行了縮減;針對agent在求解過程中學習到的經驗知識的相似性，提出了經驗知識共享的方法以提高學習效率。
  9. A. so the japs army can march in the shade

    答：日本軍隊可以在陰影中前進。
  10. Task partitioning and granularity controlling orithmetic used in japs

    中的任務劃分與粒度控制
  11. In artificial intelligence field, pursuit game is often used to test learning algorithms, and for this problem, the thesis establishes two multi - agent cooperative reinforcement learning methods ( macrl ) for multi - agents : commitment - conventions - based learning method ( macrl - cc ) and joint - action - priority - sequence - based learning method ( macrl - japs )

    Pursuitgame問題常用於來測試人工智慧領域的學習演算法，本文就此問題提出了兩種多agent協同強化學習方法:基於承諾和約定的方法和基於聯合行為優先序列的方法。
  12. In order to solve the multi - equilibria problem in the stochastic games, a macrl algorithm called macrl - japs is proposed. these two learning methods have been justified by experiments. the main research achievements and innovations are the establishment of two macrl methods for pursuit game, which are justified by experiments

    針對聯合行為學習者，給出了多agent協同強化學習的團隊隨機博弈框架，並解決了多最優均衡解問題，提出了基於聯合行為優先序列的多agent協同強化學習方法macrl - japs 。
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