狠狠撸shows by User: YusukeNakata1 / http://www.slideshare.net/images/logo.gif 狠狠撸shows by User: YusukeNakata1 / Mon, 03 Jun 2019 08:52:18 GMT 狠狠撸Share feed for 狠狠撸shows by User: YusukeNakata1 論文紹介 No-Reward Meta Learning (RL architecture勉強会) /slideshow/noreward-meta-learning-rl-architecture/148755752 rlarch0521-190603085218
RL architecture勉強会での発表資料]]>

RL architecture勉強会での発表資料]]>
Mon, 03 Jun 2019 08:52:18 GMT /slideshow/noreward-meta-learning-rl-architecture/148755752 YusukeNakata1@slideshare.net(YusukeNakata1) 論文紹介 No-Reward Meta Learning (RL architecture勉強会) YusukeNakata1 RL architecture勉強会での発表資料 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/rlarch0521-190603085218-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> RL architecture勉強会での発表資料
論文紹介 No-Reward Meta Learning (RL architecture勉強会) from Yusuke Nakata
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Multi-agent actor-critic for mixed cooperative-competitive environmentsの紹介 /YusukeNakata1/multiagent-actorcritic-for-mixed-cooperativecompetitive-environments multiagentactorcritic-180623072750
マルチエージェント強化学習 発表場所:強化学習アーキテクチャ勉強会]]>

マルチエージェント強化学習 発表場所:強化学習アーキテクチャ勉強会]]>
Sat, 23 Jun 2018 07:27:50 GMT /YusukeNakata1/multiagent-actorcritic-for-mixed-cooperativecompetitive-environments YusukeNakata1@slideshare.net(YusukeNakata1) Multi-agent actor-critic for mixed cooperative-competitive environmentsの紹介 YusukeNakata1 マルチエージェント強化学習 発表場所:強化学習アーキテクチャ勉強会 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/multiagentactorcritic-180623072750-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> マルチエージェント強化学習 発表場所:強化学習アーキテクチャ勉強会
Multi-agent actor-critic for mixed cooperative-competitive environmentsの紹介 from Yusuke Nakata
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报酬设计と逆强化学习 /slideshow/ss-102845047/102845047 dena0623-180623063051
発表場所:Shibuya synapse 現在の強化学習に何が足りないのか?]]>

発表場所:Shibuya synapse 現在の強化学習に何が足りないのか?]]>
Sat, 23 Jun 2018 06:30:51 GMT /slideshow/ss-102845047/102845047 YusukeNakata1@slideshare.net(YusukeNakata1) 报酬设计と逆强化学习 YusukeNakata1 発表場所:Shibuya synapse 現在の強化学習に何が足りないのか? <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dena0623-180623063051-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 発表場所:Shibuya synapse 現在の強化学習に何が足りないのか?
报酬设计と逆强化学习 from Yusuke Nakata
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Generative Adversarial Imitation Learningの紹介(RLアーキテクチャ勉強会) /slideshow/generative-adversarial-imitation-learningrl/82031116 z5sc1gus8ssfds0t9dew-signature-a68cebd2385898434d466afe223b0cd77bcf6a6e298dff42d1900e1a7d0905ca-poli-171114084432
Generative Adversarial Imitation Learning の紹介スライド 実装コード: https://github.com/uidilr/gail_ppo_tf]]>

Generative Adversarial Imitation Learning の紹介スライド 実装コード: https://github.com/uidilr/gail_ppo_tf]]>
Tue, 14 Nov 2017 08:44:32 GMT /slideshow/generative-adversarial-imitation-learningrl/82031116 YusukeNakata1@slideshare.net(YusukeNakata1) Generative Adversarial Imitation Learningの紹介(RLアーキテクチャ勉強会) YusukeNakata1 Generative Adversarial Imitation Learning の紹介スライド 実装コード: https://github.com/uidilr/gail_ppo_tf <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/z5sc1gus8ssfds0t9dew-signature-a68cebd2385898434d466afe223b0cd77bcf6a6e298dff42d1900e1a7d0905ca-poli-171114084432-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Generative Adversarial Imitation Learning の紹介スライド 実装コード: https://github.com/uidilr/gail_ppo_tf
Generative Adversarial Imitation Learningの紹介(RLアーキテクチャ勉強会) from Yusuke Nakata
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Maximum Entropy IRL(最大エントロピー逆強化学習)とその発展系について /slideshow/maximum-entropy-irl/79451350 maxdeeprelguided-170905142400
强化学习アーキテクチャ勉强会での発表资料闭闭>

强化学习アーキテクチャ勉强会での発表资料闭闭>
Tue, 05 Sep 2017 14:24:00 GMT /slideshow/maximum-entropy-irl/79451350 YusukeNakata1@slideshare.net(YusukeNakata1) Maximum Entropy IRL(最大エントロピー逆強化学習)とその発展系について YusukeNakata1 强化学习アーキテクチャ勉强会での発表资料 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/maxdeeprelguided-170905142400-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 强化学习アーキテクチャ勉强会での発表资料
Maximum Entropy IRL(最大エントロピー逆強化学習)とその発展系について from Yusuke Nakata
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https://public.slidesharecdn.com/v2/images/profile-picture.png https://cdn.slidesharecdn.com/ss_thumbnails/rlarch0521-190603085218-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/noreward-meta-learning-rl-architecture/148755752 論文紹介 No-Reward Meta Le... https://cdn.slidesharecdn.com/ss_thumbnails/multiagentactorcritic-180623072750-thumbnail.jpg?width=320&height=320&fit=bounds YusukeNakata1/multiagent-actorcritic-for-mixed-cooperativecompetitive-environments Multi-agent actor-crit... https://cdn.slidesharecdn.com/ss_thumbnails/dena0623-180623063051-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/ss-102845047/102845047 报酬设计と逆强化学习