Bipedal Walker using DQN
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Updated
Jun 26, 2024 - Python
Bipedal Walker using DQN
Teaching an bipedal bot how to walk using a TD3 algorithm (variant of Reinforcement Learning - Actor & Critic method)
Reinforcement Learning and Deeep reinforcement Learning
Use Gymnasium to develop a reinforcement learning agent. First Semester of the Third Year of the Bachelor's Degree in Artificial Intelligence and Data Science.
This project implements agent training using the Proximal Policy Optimization (PPO) algorithm in the BipedalWalker-v3 environment at two difficulty levels: normal and hardcore. The model's performance is evaluated based on rewards collected during the training process.
PPO for Bipedal Walker
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