# Atari Game AI
Dqn SpaceInvadersNoFrameskip V4
This is a reinforcement learning agent based on the DQN algorithm, specifically designed to play SpaceInvadersNoFrameskip-v4, trained using the stable-baselines3 library.
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D
0xrushi
13
0
Dqn SpaceInvadersNoFrameskip V4
This is a DQN agent trained using the Stable Baselines3 library, specifically designed to play the SpaceInvadersNoFrameskip-v4 game.
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D
ThomasSimonini
32
1
Ppo PongNoFrameskip V4
This is a reinforcement learning model based on the PPO algorithm, specifically designed for the PongNoFrameskip-v4 environment.
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P
sb3
46
1
Ppo SeaquestNoFrameskip V4
This is a PPO agent model trained using the stable-baselines3 library, specifically designed to play the Atari game SeaquestNoFrameskip-v4.
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P
ThomasSimonini
205
0
Ppo BreakoutNoFrameskip V4
A deep reinforcement learning model trained using the PPO algorithm in the Atari Breakout environment
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P
ThomasSimonini
459
3
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