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Creating an agent(AI model) to play the famous cartpole game by using Reinforcement learning and Experience replay process.

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Reinforcement Learning using pytorch

Creating an agent(AI model) to play the famous Cartpole game by using Reinforcement learning and Experience replay process.

Pre-requistics

  1. Python- 3.6
  2. Torch - 1.0.0
  3. Gym - 0.12.0
  4. Matplotlib - 3.0.2

Downloads and Setup

Once you clone this repo, run the cartpole_Main.py file to render the environment and to train the model.

Reference

Playing Atari with Deep Reinforcement Learning, Mnih et al, 2013. Algorithm: DQN

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Creating an agent(AI model) to play the famous cartpole game by using Reinforcement learning and Experience replay process.

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