RL-PCO-Atlantis-Atari
PublicThis project trains and evaluates a Proximal Policy Optimization (PPO) agent to play the Atari game Atlantis using Stable Baselines3. The agent is trained with a Convolutional Neural Network (CNN) policy and evaluated for its performance in the game. It includes scripts for training, evaluating, and real-time gameplay rendering.
Creat：2024-09-14T01:54:13
Update：2024-09-29T23:46:54
https://gymnasium.farama.org/environments/atari/atlantis/
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