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Comparison of Proximal Policy Optimization(PPO), Soft Actor Critic(SAC) and Twin Delayed(TD3) in Solving Bipedal Walker Task + Genetic Algorithm Hyperparameter Optimization

Demo

Requirements

Code environment is managed via Anaconda in this project.

To create an environment and install all dependencies:

conda env create -f environment.yml

To clone and run this project locally:

git clone https://github.com/ChengyuanSha/RL-Bipedal-Walker

File Structure

  • PPO folder by Chengyuan Sha:
    • PPO.ipynb
  • SAC folder by Dongjun Jin:
    • main.ipynb
  • TD3 folder by Jinting Zhang:
    • main.ipynb

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Solving OpenAI Bipedal Walker Task Using Three Different Reinforcement Learning Algorithms

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