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Reinforcement Learning Project: Atari AirRaid with A2C

Overview

This project implements a reinforcement learning model using the Advantage Actor-Critic (A2C) algorithm to solve the Atari AirRaid environment. The model utilizes a Convolutional Neural Network (CNN) policy for learning and playing the game.

Prerequisites

Before running the code, ensure you have the following dependencies installed:

  • Python 3.x
  • Gymnasium
  • Pytorch
  • Stable Baselines3

Install these dependencies The training logs are present in the repository.

air-raid-reinforcement-learning's People

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