# Atari game control
Dqn BeamRiderNoFrameskip V4
This is a reinforcement learning model based on the DQN algorithm, specifically designed for the Atari game environment BeamRiderNoFrameskip-v4.
Video Processing
D
sb3
169
0
Dqn BreakoutNoFrameskip V4
This is a deep reinforcement learning model based on the DQN algorithm, specifically designed for the Atari game environment BreakoutNoFrameskip-v4.
Video Processing
D
sb3
20
2
Dqn SpaceInvadersNoFrameskip V4
This is a Deep Q-Network (DQN) based reinforcement learning agent, specifically trained to play the Atari game 'Space Invaders'
Video Processing
D
sb3
58
4
Ppo BreakoutNoFrameskip V4
This is a reinforcement learning agent based on the PPO algorithm, specifically designed for training and evaluation in the BreakoutNoFrameskip-v4 game environment.
Image Generation
P
sb3
22
0
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