bipedal-walker-ppo.tsx
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TypeScript
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BipedalWalker_RL_Training
Reinforcement Learning/2026
PYTHONPYTORCHOPENAI GYMPPO ALGORITHMSTABLE BASELINES3
PROJECT OVERVIEW
/**
* @projectBipedalWalker RL Training
* @descriptionTraining a bipedal robot to walk and navigate terrain using Proximal Policy Optimization (PPO). This project explores the balance between exploration and exploitation in continuous action spaces, resulting in a robust locomotive agent after 1 million timesteps of training.
* @statusCase Study
*/
DISCIPLINECreative Code
ROLEReinforcement Learning
YEAR2026
CATEGORYReinforcement Learning
TOOLSPYTHON / PYTORCH / OPENAI GYM / PPO ALGORITHM / STABLE BASELINES3
LOGIC BREAKDOWN
PROJECT GALLERY
Preview
