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Implementation of some Deep Reinforcement Learning algorithms in TensorFlow 2.

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drl-tf2

Deep Reinforcement Learning algorithms implementation using TensorFlow 2.

Implemented algorithms:

  • Policy Gradient for discrete actions.
  • Synchronous Advantage Actor Critic (A2C) for discrete actions.
  • Deep Q-learning.
  • Deep Deterministic Policy Gradient.

python main.py --help for the full options list.

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Implementation of some Deep Reinforcement Learning algorithms in TensorFlow 2.

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