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Title: Fisher's Blog

Open Graph Title: Fisher's Blog

Mail addresses
blue.fisher.zzy@gmail.com

Opengraph URL: https://bluefisher.github.io/index.html

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direct link

Domain: bluefisher.github.io

theme-color#222
og:typewebsite
og:site_nameFisher's Blog
og:localezh_CN
article:authorFisher Chang
article:tagFisher, Fisher Chang
twitter:cardsummary
NoneFisher's Blog

Links:

Fisher's Blog https://bluefisher.github.io/
首页https://bluefisher.github.io/
标签https://bluefisher.github.io/tags/
分类https://bluefisher.github.io/categories/
归档https://bluefisher.github.io/archives/
https://github.com/BlueFisher
强化学习文章阅读顺序https://bluefisher.github.io/2018/05/29/%E5%BC%BA%E5%8C%96%E5%AD%A6%E4%B9%A0%E6%96%87%E7%AB%A0%E9%98%85%E8%AF%BB%E9%A1%BA%E5%BA%8F/
Reinforcement Learninghttps://bluefisher.github.io/categories/Reinforcement-Learning/
Course by David Silverhttps://bluefisher.github.io/categories/Reinforcement-Learning/Course-by-David-Silver/
https://bluefisher.github.io/2018/05/29/%E5%BC%BA%E5%8C%96%E5%AD%A6%E4%B9%A0%E6%96%87%E7%AB%A0%E9%98%85%E8%AF%BB%E9%A1%BA%E5%BA%8F/#valine-comments
马尔可夫决策过程(MDP)定义整理https://bluefisher.github.io/2018/05/07/%E9%A9%AC%E5%B0%94%E5%8F%AF%E5%A4%AB%E5%86%B3%E7%AD%96%E8%BF%87%E7%A8%8B-MDP-%E5%AE%9A%E4%B9%89%E6%95%B4%E7%90%86/
基于模型的动态规划 Planning by Dynamic Programminghttps://bluefisher.github.io/2018/05/19/%E5%9F%BA%E4%BA%8E%E6%A8%A1%E5%9E%8B%E7%9A%84%E5%8A%A8%E6%80%81%E8%A7%84%E5%88%92-Planning-by-Dynamic-Programming/
无模型预测 Model-Free Predicationhttps://bluefisher.github.io/2018/05/19/%E6%97%A0%E6%A8%A1%E5%9E%8B%E9%A2%84%E6%B5%8B-Model-Free-Predication/
无模型控制 Model-Free Controlhttps://bluefisher.github.io/2018/05/22/%E6%97%A0%E6%A8%A1%E5%9E%8B%E6%8E%A7%E5%88%B6-Model-Free-Control/
值函数近似 Value Function Approximationhttps://bluefisher.github.io/2018/05/26/%E5%80%BC%E5%87%BD%E6%95%B0%E8%BF%91%E4%BC%BC-Value-Function-Approximation/
Deep Q-Networkhttps://bluefisher.github.io/2018/05/07/Deep-Q-Network/
DQN 代码实现https://bluefisher.github.io/2018/05/08/DQN-%E4%BB%A3%E7%A0%81%E5%AE%9E%E7%8E%B0/
Double DQN & 代码实现https://bluefisher.github.io/2018/05/21/Double-DQN-%E4%BB%A3%E7%A0%81%E5%AE%9E%E7%8E%B0/
Prioritized Experience Replayhttps://bluefisher.github.io/2018/05/25/Prioritized-Experience-Replay/
Prioritized Experience Replay 代码实现https://bluefisher.github.io/2018/06/02/Prioritized-Experience-Replay-%E4%BB%A3%E7%A0%81%E5%AE%9E%E7%8E%B0/
Dueling Network Architectures for Deep Reinforcement Learning & 代码实现https://bluefisher.github.io/2018/06/03/Dueling-Network-Architectures-for-Deep-Reinforcement-Learning-%E4%BB%A3%E7%A0%81%E5%AE%9E%E7%8E%B0/
策略梯度 Policy Gradienthttps://bluefisher.github.io/2018/05/10/%E7%AD%96%E7%95%A5%E6%A2%AF%E5%BA%A6-Policy-Gradient/
Actor-Critic Softmax & Gaussian Policy 代码实现https://bluefisher.github.io/2018/05/10/Actor-Critic-Softmax-Gaussian-Policy-%E4%BB%A3%E7%A0%81%E5%AE%9E%E7%8E%B0/
Deterministic Policy Gradienthttps://bluefisher.github.io/2018/05/16/Deterministic-Policy-Gradient/
Deep Deterministic Policy Gradienthttps://bluefisher.github.io/2018/05/16/Deep-Deterministic-Policy-Gradient/
DDPG 代码实现https://bluefisher.github.io/2018/05/17/DDPG-%E4%BB%A3%E7%A0%81%E5%AE%9E%E7%8E%B0/
Deep Reinforcement Learning In Parameterized Action Spacehttps://bluefisher.github.io/2018/07/18/Deep-Reinforcement-Learning-In-Parameterized-Action-Space/
Asynchronous Methods for Deep Reinforcement Learninghttps://bluefisher.github.io/2018/05/17/Asynchronous-Methods-for-Deep-Reinforcement-Learning/
A3C 代码实现https://bluefisher.github.io/2018/05/18/A3C-%E4%BB%A3%E7%A0%81%E5%AE%9E%E7%8E%B0/
Trust Region Policy Optimizationhttps://bluefisher.github.io/2018/06/30/Trust-Region-Policy-Optimization/
High-Dimensional Continuous Control Using Generalized Advantage Estimationhttps://bluefisher.github.io/2018/07/16/High-Dimensional-Continuous-Control-Using-Generalized-Advantage-Estimation/
Proximal Policy Optimization Algorithmshttps://bluefisher.github.io/2018/07/03/Proximal-Policy-Optimization-Algorithms/
Proximal Policy Optimization 代码实现https://bluefisher.github.io/2018/07/06/Proximal-Policy-Optimization-%E4%BB%A3%E7%A0%81%E5%AE%9E%E7%8E%B0/
整合学习与规划 Integrating Learning and Planninghttps://bluefisher.github.io/2018/05/29/%E6%95%B4%E5%90%88%E5%AD%A6%E4%B9%A0%E4%B8%8E%E8%A7%84%E5%88%92-Integrating-Learning-and-Planning/
Efficient Transformers in Reinforcement Learning using Actor-Learner Distillationhttps://bluefisher.github.io/2021/09/30/Efficient-Transformers-in-Reinforcement-Learning-using-Actor-Learner-Distillation/
Reinforcement Learninghttps://bluefisher.github.io/categories/Reinforcement-Learning/
https://bluefisher.github.io/2021/09/30/Efficient-Transformers-in-Reinforcement-Learning-using-Actor-Learner-Distillation/#valine-comments
阅读全文 » https://bluefisher.github.io/2021/09/30/Efficient-Transformers-in-Reinforcement-Learning-using-Actor-Learner-Distillation/#more
论文速读https://bluefisher.github.io/2021/09/16/%E8%AE%BA%E6%96%87%E9%80%9F%E8%AF%BB/
https://bluefisher.github.io/2021/09/16/%E8%AE%BA%E6%96%87%E9%80%9F%E8%AF%BB/#valine-comments
阅读全文 » https://bluefisher.github.io/2021/09/16/%E8%AE%BA%E6%96%87%E9%80%9F%E8%AF%BB/#more
Learning Invariant Representations For Reinforcement Learning Without Reconstructionhttps://bluefisher.github.io/2021/08/08/Learning-Invariant-Representations-For-ReinForcement-Learning-Without-Reconstruction/
https://bluefisher.github.io/2021/08/08/Learning-Invariant-Representations-For-ReinForcement-Learning-Without-Reconstruction/#valine-comments
阅读全文 » https://bluefisher.github.io/2021/08/08/Learning-Invariant-Representations-For-ReinForcement-Learning-Without-Reconstruction/#more
Decoupling Value and Policy for Generalization in Reinforcement Learninghttps://bluefisher.github.io/2021/08/05/Decoupling-Value-and-Policy-for-Generalization-in-Reinforcement-Learning/
https://bluefisher.github.io/2021/08/05/Decoupling-Value-and-Policy-for-Generalization-in-Reinforcement-Learning/#valine-comments
阅读全文 » https://bluefisher.github.io/2021/08/05/Decoupling-Value-and-Policy-for-Generalization-in-Reinforcement-Learning/#more
SUNRISE-A-Simple-Unified-Framework-for-Ensemble-Learning-in-Deep-Reinforcement-Learninghttps://bluefisher.github.io/2020/10/29/SUNRISE-A-Simple-Unified-Framework-for-Ensemble-Learning-in-Deep-Reinforcement-Learning/
Reinforcement Learninghttps://bluefisher.github.io/categories/Reinforcement-Learning/
https://bluefisher.github.io/2020/10/29/SUNRISE-A-Simple-Unified-Framework-for-Ensemble-Learning-in-Deep-Reinforcement-Learning/#valine-comments
阅读全文 » https://bluefisher.github.io/2020/10/29/SUNRISE-A-Simple-Unified-Framework-for-Ensemble-Learning-in-Deep-Reinforcement-Learning/#more
Adapting Auxiliary Losses Using Gradient Similarity & Adaptive Auxiliary Task Weighting for Reinforcement Learninghttps://bluefisher.github.io/2020/10/13/Adapting-Auxiliary-Losses-Using-Gradient-Similarity-Adaptive-Auxiliary-Task-Weighting-for-Reinforcement-Learning/
Reinforcement Learninghttps://bluefisher.github.io/categories/Reinforcement-Learning/
https://bluefisher.github.io/2020/10/13/Adapting-Auxiliary-Losses-Using-Gradient-Similarity-Adaptive-Auxiliary-Task-Weighting-for-Reinforcement-Learning/#valine-comments
阅读全文 » https://bluefisher.github.io/2020/10/13/Adapting-Auxiliary-Losses-Using-Gradient-Similarity-Adaptive-Auxiliary-Task-Weighting-for-Reinforcement-Learning/#more
Kubernetes GPU pid 转 Podhttps://bluefisher.github.io/2020/09/21/Kubernetes-GPU-pid-%E8%BD%AC-Pod/
https://bluefisher.github.io/2020/09/21/Kubernetes-GPU-pid-%E8%BD%AC-Pod/#valine-comments
阅读全文 » https://bluefisher.github.io/2020/09/21/Kubernetes-GPU-pid-%E8%BD%AC-Pod/#more
Evolution Strategies as a Scalable Alternative to Reinforcement Learninghttps://bluefisher.github.io/2020/07/28/Evolution-Strategies-as-a-Scalable-Alternative-to-Reinforcement-Learning/
Reinforcement Learninghttps://bluefisher.github.io/categories/Reinforcement-Learning/
https://bluefisher.github.io/2020/07/28/Evolution-Strategies-as-a-Scalable-Alternative-to-Reinforcement-Learning/#valine-comments
Evolution Strategies as a Scalable Alternative to Reinforcement Learninghttps://arxiv.org/pdf/1703.03864
阅读全文 » https://bluefisher.github.io/2020/07/28/Evolution-Strategies-as-a-Scalable-Alternative-to-Reinforcement-Learning/#more
Never Give Up: Learning Directed Exploration Strategieshttps://bluefisher.github.io/2020/06/09/Never-Give-Up-Learning-Directed-Exploration-Strategies/
Reinforcement Learninghttps://bluefisher.github.io/categories/Reinforcement-Learning/
https://bluefisher.github.io/2020/06/09/Never-Give-Up-Learning-Directed-Exploration-Strategies/#valine-comments
阅读全文 » https://bluefisher.github.io/2020/06/09/Never-Give-Up-Learning-Directed-Exploration-Strategies/#more
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7 分类https://bluefisher.github.io/categories/
20 标签https://bluefisher.github.io/tags/
https://github.com/BlueFisher
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https://ai.stackexchange.com/users/15525/fish-tree
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