½ðÄê»á

À´Ô´£º³µÏÕ £¬×÷Õߣº £¬£º

ÚÀ £¬Ù¯ÏþµÃ·¥ £¬×î½üÎÒÌýµ½Âù¶àСÄêÇὲɶÎïÊ¡°Í¬³Ç¿Õ½µÍøÕ¾Èë¿Ú¡± £¬½²µÃÀ´ÉñÃØÙâÙâ¡£ÎÒ¸úÙ¯½²Å¶ £¬Õâ¸öÆäʵÊÇÀÏÓÐÒâ˼¸ö¹¤¾ß £¬Ù¯ÒªÊǸãÇåˬÁË £¬ë¡ÄܾͲ»ÅÂ߼ûƫÏòÁË £¬Ïñ×ø»Æ°ü³µÒ»ÑùÎȵ±£¡

ɶÎïÊÂÊÇ¡°Í¬³Ç¿Õ½µÍøÕ¾Èë¿Ú¡±£¿Ù¯ÌýÎÒÞèÞè~

Õâ¸öÂï £¬ËµµÃ¼òµ¥µã £¬¾ÍÊÇÒ»ÖÖ¡°ÍøÉϸöÐÂÍæ·¨¡± £¬ÈÃÙ¯Åܵ½±ðÈ˸öÍÁµØ £¬Ö±½ÓÕÒµ½ÍâµØ¸ö¡°ÃÅ·¡± £¬¾ÍÏñÙ¯µ½È˼ҸöŪÌÃÀïÏá £¬ÏþµÃÄļÒÑô´ºÃæ×îºÃ³Ô¡£ë¡¸ö¹¤¾ßÎÒ×îÔç³½¹âÏþµÃ £¬Êǰ¢À­Ð¡àï¸úÎÒ½²¸ö £¬Ëµ¡°°Ö £¬ÎÒҪȥº¼ÖÝÍæ £¬ÍøÉϲéÁËÒ»¸ö¡®¿Õ½µÈë¿Ú¡¯ £¬Ö±½ÓÕÒµ½È˼ҸöËíµÀÍøºìµê¡±¡£

ÎÒÆäʱÌýµÃÀ´Óеãã £¬ÐÄÏë롸ö¸ã·¨ £¬ÀÏÔç³½¹âÎÒÄêÇá³½¹âÄÄÄÜÓиö£¿°¢Àï´î¶¼Òª¿¿ÊìÈËÁì· £¬¿¿¿Ú±®´«¸ö¡£ÏÖÔÚÖ»ÒªÓÐÊÖ»ú £¬µãһϾÍÄÜÕÒµ½ÍâµØ×îÁéÍ·¸öµØ·½¡£ÎÒ¸úÙ¯½²Å¶ £¬ë¡¸öÊÇÕæ±ãµ±¸ö £¬ÓÈÆäÊÇÏëÒª¡°ÀÏ¿ËÀÕ¡±ÍæµÃËíµÀ£¡

Ù¯ÖªµÀ¸ö¡°¿Õ½µÈë¿Ú¡± £¬½²¾¿Âù¶à¸öŶ~

½²µ½¡°ÃÅ·¡± £¬Ù¯ÒªÏþµÃ·¥ £¬ÕâÀïÃæÓн²¾¿¸öŶ¡£ÌرðÊÇë¡Ð©ÍøÕ¾ £¬ÓÐЩ¸öÐÅÏ¢ÊÇ¡°°ü×°¹ý¡±¸ö £¬Ù¯ÒªÊÇÏàÐÅÁË £¬¿ÉÄÜ»á²ÈÀס£¾ÍÏñ³ÇÚòÃíÀïÏáÂòС³Ô £¬Íâò¿´µÃÀ´ÏÊÃ÷ÁÁÀö £¬µ«ÎÕÐáâÉÄÜ߼ûÀÏŪÌÃÀïÏá¸öÕý×Ú¡£Ù¯ÏþµÃ·¥£¿ÕæÕýºÃÓøöÍøÕ¾ £¬¶¼ÊÇ¿¿Óû§¿Ú±®³ÅÆðÀ´¸ö¡£

͵͵¸æËßٯŶ£ºÕÕÎÒ¿´À´Å¶ £¬Ù¯ÒªÓá°Í¬³Ç¿Õ½µÍøÕ¾Èë¿Ú¡± £¬×îºÃÑ¡ë¡Ð©¡°µãÆÀÍøÕ¾¡± £¬¿´ÏÂÍâµØÈ˸öÍÆ¼ö £¬ÔÙ½áºÏµãÆÀÂÛ¡£ºÃ±È £¬ÕÒÓ÷¹¸öµØ¶ù £¬×îÔÃÄ¿¿´ÊDz»ÊÇÓÐÀÏÍâµØÈ˽²¡°Õâ¼ÒÊÇ´ÓÒ¯Êå±²¾Í¿ª×Ÿö¡±¡£ë¡ÄܾͿ¿Æ×ÁË£¡

ÁíÓÐŶ £¬Ù¯ÒªÊÇÓÃë¡Ð©Èë¿ÚÈ¥ÕÒÍæÀֵط½ £¬¼Ç×ÅÒ»¸öÀÏÉϺ£¾­Ñ飺Äþ¿ÉѡСÖÚ £¬²»Ñ¡´óÈÈ¡£ë¡¸öÔ­Àí¾ÍÏñÎÒÀÏÔç³½¹âÈ¥Ô¥Ô° £¬Í¨·²È˶àÅŶӸöµØ·½ £¬Î¶µÀ·´¶ø²»Èç±ßÉÏÀ䯧µã¸öС³Ô̯¡£Ù¯½²ÊÇ·¥£¿

»¦ÓïÌå¸ÂÚ¨ºú£ºÒ»´ÎÓ°ÏóÉî¿Ì¸ö¡°¿Õ½µ¡±

ë¡ÌìÎÒСàïÓÃ롸ö¡°Í¬³Ç¿Õ½µÍøÕ¾Èë¿Ú¡±ÕÒµ½Ò»¼ÒÔÚËÕÖݸöÀÏÊéµê £¬½²ÊéµêÀïÏáÓÐÀÏÉϺ£¸öζµÀ¡£ÎÒ¾ÍËæ×ÅÈ¥ÁË¡£ë¡ÌìÒ¹¿ìµãÎÒ³ÔºÃÒ¹·¹ £¬¸Õµ½ËÕÖݸöÀÏÏï×ÓÀï £¬¿´µ½ë¡¼ÒÊéµêÃÅÃæÎðÆðÑÛ £¬µ«ÀïÏá¸öÀϰåÊǸöÀϲ®²® £¬À­À­»¹½²×ÅÉϺ£»°¡£ÒÁ½²ÒÁÄêÇá³½¹âÔÚÉϺ£×öÊéÉÌ £¬ØÊºó°áµ½ËÕÖÝ¿ªë¡¼Òµê¡£ÎÒÒ»Ìý £¬ÑÛ¾¦¶¼ÁÁÍÑÁË £¬ë¡ÄܲÅÊÇÕæ¸ö¡°¿Õ½µÓÐÃÅ·¡±¸öζµÀ£¡

ÎÒ¸úÙ¯½²Å¶ £¬ë¡´Î¸ö¾­ÀúÈÃÎÒ¾õ×Å £¬ë¡¸öÈë¿Ú²»ÊÇ´¿´âΪÁËÕҵط½ £¬¸üÊÇÕÒÒ»ÖÖÈËÇéζ £¬Ò»ÖÖ¹ÊÊ¡£ë¡ÄܲÅÊÇÀÏÉϺ£¸ö¾«Ëè~


½²µ½ë¡Àï £¬¿ÉÄÜÙ¯»áÎÊ¡­¡­

Ù¯¿ÉÄÜ»áÎÊ£º¡°ë¡Ð©Èë¿Ú¾¿¾¹ÊʺÏɶÑù¸öÈËÓã¿¡±

ÕÕÎÒ¿´À´Å¶ £¬ÊʺÏë¡Ð©ÏëÒª¡°ËíµÀ¡±ÌåÑé¸öÈË £¬ÌرðÊÇÄÇЩÏëÒªÉîÈëÁ˽âÒ»¸öµØ·½¸öÎÄ»¯¸ö¡£ÏñÎÒÃÇÀÏÉϺ£ £¬×î¿´ÖØë¡ÖÖ¡°ÍâµØÎ¶µÀ¡± £¬Ù¯½²ÊÇ·¥£¿

±êÇ©

  • ͬ³Ç¿Õ½µÍøÕ¾Èë¿Ú
  • ÉϺ£¸ÂÚ¨ºú
  • ËíµÀÃÅ·
  • ÀÏÉϺ£ÈËÇéζ
  • ÂÃÐиöÇÏÃÅ

¡¶qq΢ÐÅͬ³ÇÔÂÅס·

ȯÉÌÖйú¼ÇÕß×¢Òâµ½ £¬2026ÄêÐÅ´û¡°¿ªÃź족ÌåÏÖ¡¢¡°Ê®ÎåÎ塱¼Æ»®¡¢×ʲúÇ·Õ®¶ËÖÎÀí¼°²Æ²úÖÎÀíµÈ £¬ÊÇ»ú¹¹µ÷ÑеÄÖØµãÒéÌâ¡£¶àλȯÉÌÆÊÎöʦµ÷ÑкóÌåÏÖ £¬¡°Ê®ÎåÎ塱¿ª¾ÖÖ®Äê £¬ÒøÐÐÐÅ´û¡°¿ªÃź족ÌåÏÖÁ¼ºÃ £¬Í¬Ê±Õý»ý¼«Éú³¤²Æ²úÖÎÀíµÈÖмäÒµÎñ¡£

¡¶soulÉÏÃæ³Ôů¹ø¡·

¢Þ Zhang K, Zuo Y, He B, ..., Zhou B. A survey of reinforcement learning for large reasoning models [J]. arXiv preprint arXiv:2509.08827, 2025.

¡¶Î¢ÐŽÐÐ¡Š‹È˸¶µ½ÕË¡·

×÷ΪÖйú²úÁ¸µÚÒ»´óÊ¡ £¬ºÚÁú½­ÒÔÑǶ¬»áΪÆõ»ú £¬½«¡°ºÚÍÁÁ¸²Ö¡±µÄÓÅÖÊÅ©²úÆ·ÈÚÈëÈüÊÂЧÀÍ¡¢ÎÄÂÃÏû·ÑºÍÆ·ÅÆÍÆ¹ãÖÐ £¬ÊéдÁË¡°±ùÑ©´į̂¡¢Á¸Ê³³ªÏ·¡±µÄÆæÌØÆªÕ¡£Õâ¸ö¶¬Ìì £¬µ±ÑǶ¬åâå˺ÚÍÁµØ £¬»áÅöײ³öÔõÑùµÄ»ð»¨£¿

ÍøÕ¾µØÍ¼