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20190916 Machine Learning study list

Reinforcement Learning

Study List
-[] Brief of Reinforcement Learning
-[] Methods
-[] The reason to use
-[] Preparation

-[] Qlearning
-[] Qlearning algorithm
-[] Qlearning strategy

-[] Sarsa
-[] Sarsa algorithm
-[] Sarsa strategy
-[] Sarsa lambda

-[] Deep Q Network
-[] TensorFlow
-[] TensorFlow algorithm
-[] TensorFlow strategy
-[ ] Open AI gym
-[] Double DQN
-[] Prioritized Experience Replay (DQN)
-[] Dueling DQN

-[] Policy Gradient
-[] Policy Gradient algorithm
-[] Policy Gradient Strategy

-[] Actor Critic
-[] Deep Deterministic Policy Gradient (DDPG)
-[] Asynchronous Advantage Actor-Critic (A3C)
-[] Distributed Proximal Policy Optimization(DPPO)

Tensor flow study list

Tensorflow

Study List

  • 1. Introduction
  • 2. Preparation
  • 3. Basis architecture
  • 4. Construct basic tensorflow
  • 5. Tensorboard a tensorflow visualization tool
  • 6. Advance content

daily study list

Reinforcement Learning

Study List

  • Brief of Reinforcement Learning

  • Methods

  • The reason to use

  • Preparation

  • Qlearning

  • Qlearning algorithm

  • Qlearning strategy

  • Sarsa

  • Sarsa algorithm

  • Sarsa strategy

  • Sarsa lambda

  • Deep Q Network

  • TensorFlow

  • TensorFlow algorithm

  • TensorFlow strategy

  • Open AI gym

  • Double DQN

  • Prioritized Experience Replay (DQN)

  • Dueling DQN

  • Policy Gradient

  • Policy Gradient algorithm

  • Policy Gradient Strategy

  • Actor Critic

  • Deep Deterministic Policy Gradient (DDPG)

  • Asynchronous Advantage Actor-Critic (A3C)

  • Distributed Proximal Policy Optimization(DPPO)

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