Belanja di App banyak untungnya: Banyak Vouchernya Produk Eksklusif di App Rekomendasi Hanya Untukmu Paling Pertama Dapat Promo
Machine Learning Advent Calendar 2014ã®12æ¥ç®ã æè¿åæ師ããå¦ç¿ã«èå³ããã£ã¦ã¡ãã£ã¨åå¼·ãã¦ã¿ãã®ã§ããã«ã¤ãã¦æ¸ãã¦ã¿ããèªåãåå¼·ããæã«èªãã æç®ãä¸ã®æ¹ã«æ¸ããã®ã§ããèå³ãããã°ã åæ師ããå¦ç¿ã¯ã©ãã«ä»ããã¼ã¿ã«å ãã¦ã©ãã«ç¡ããã¼ã¿ã使ã£ã¦å¦ç¿ã§ããã¨ãããã¨ã§ãããé åçãªãã ãã©ãä½ãèããã«ä½¿ãã¨æ師ããå¦ç¿ãã精度ãè½ã¡ããã¨ãããããã ã©ãã«ç¡ããã¼ã¿ã¯ãã®åã®éãã©ã®ã¯ã©ã¹ã«å±ãããåãã£ã¦ããªããã¼ã¿ãªã®ã§ãä½ãããã® ã¢ãã« ã«åºãã¦ãã®ãã¼ã¿ãã©ã®ã¯ã©ã¹ã«å±ããããä»®å®ãã¦ãããªãã¨ãããªããã¤ã¾ããã¼ã¿ã®åå¸ï¼ã¢ãã«ï¼ã«ä»®å®ãç½®ããªãã¨ãããªããåæ師ããå¦ç¿ãããä¸ã§ã¯ããã ä¸çªéè¦ã Introduction to Semi-Supervised Learningã®p.15ã«ãããæ¸ãã¦ããã the
Evolution strategies as a scalable alternative to reinforcement learning Weâve discovered that evolution strategies (ES), an optimization technique thatâs been known for decades, rivals the performance of standard reinforcement learning (RL) techniques on modern RL benchmarks (e.g. Atari/MuJoCo), while overcoming many of RLâs inconveniences. In particular, ES is simpler to implement (there is no n
ååã®è¨äºãã¹ã¬ããéã®ãã¼ã¿å ±æã«ä½¿ãããMicrosoft PPLã®ä¸¦åã³ã³ãããã Asynchronous Agentsã¨ã¯ è±åè¾å ¸ã«ããã¾ãã¨"agent"ã¯ä»£çæ¥è ï¼ä»²ä»äººãããã¯ä½ç¨å åãæå³ããã¿ãããä»äºãä¾é ¼ããã°åæã«ãã£ã¨ãã¦ãããã¤ã¡ã¼ã¸ã§ãããããASynchronous Agentsã®ä¸»å½¹ã¯class agentãagentããå°åºããã¯ã©ã¹ã§ç´ç²ä»®æ³é¢æ°ï¼void run()ãåå®ç¾©ãã¦ãããã¤ã³ã¹ã¿ã³ã¹ã«å¯¾ãã¦start()ããã¨run()ãåãåºãã¾ããã¨ãããããã£ã¦ã¿ã¾ãããã #include <iostream> #include <sstream> #include <string> #include <agents.h> class greeting_agent : public concurrency::agent { private:
ãªãªã¼ã¹ãé害æ å ±ãªã©ã®ãµã¼ãã¹ã®ãç¥ãã
ææ°ã®äººæ°ã¨ã³ããªã¼ã®é ä¿¡
å¦çãå®è¡ä¸ã§ã
j次ã®ããã¯ãã¼ã¯
kåã®ããã¯ãã¼ã¯
lãã¨ã§èªã
eã³ã¡ã³ãä¸è¦§ãéã
oãã¼ã¸ãéã
{{#tags}}- {{label}}
{{/tags}}