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@@ -25,4 +25,6 @@ PPO and PPO_CNN agents playing Pong-v0 game:<br>
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10. [Introduction to RL Asynchronous Advanced Actor Critic algorythm (A3C)](https://pylessons.com/A3C-reinforcement-learning/)
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11. [Introduction to RL Proximal Policy Optimization algorythm (PPO)](https://pylessons.com/PPO-reinforcement-learning/)
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![Training Curve](11_Pong-v0_PPO/Pong-v0_APPO_0.0001_RMSprop.png | width=100)
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![Training Curve](11_Pong-v0_PPO/Pong-v0_APPO_0.0001_RMSprop.png)
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<img src="11_Pong-v0_PPO/Pong-v0_APPO_0.0001_RMSprop.png" data-canonical-src="11_Pong-v0_PPO/Pong-v0_APPO_0.0001_RMSprop.png" width="200" height="400" />

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