Actor Critic Model implementation

I am going to work on a project which requires implementation of A2C model using Tensorflow 2.0. I am new in the Machine Learning field and also in Python. These are topics which I have covered theoretically:

  • Different methods of Machine learning (supervised, unsupervised, reinforcement)
  • Linear and Logistic Regression
  • Required knowledge on Statistic and Probability
  • Neural network
  • Policy gradient
  • Gradient Descent
  • Basic of Tensorflow 2.0 (basic operations, preprocessing of Data)

Now I am a bit confused about what structure should I follow to become well familiar with Reinforcement learning, A2C model with Tensorflow and complete the project. I need some structured guidelines to study (even if possible from scratch).

Topic actor-critic implementation reinforcement-learning deep-learning machine-learning

Category Data Science

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