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dqn-SpaceInvadersNoFrameskip-v4
chubbyk/dqn-SpaceInvadersNoFrameskip-v4
dqn-SpaceInvadersNoFrameskip-v4 is a reinforcement learning model from chubbyk. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. It is set up for stable-baselines3.
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4 using Stable-Baselines3.
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.zip109 MB · 80%
At a glance
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- Access
- Public
- Created
- Dec 27, 2025
- Updated
- Dec 27, 2025
- SHA
- 3d28517f
Model card
From the Hugging Face model README
DQN Agent for SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4 using Stable-Baselines3.
Evaluation Results
Mean Reward: 481.00 +/- 130.28
Usage
from stable_baselines3 import DQN
from stable_baselines3.common.env_util import make_atari_env
from stable_baselines3.common.vec_env import VecFrameStack
env = make_atari_env("SpaceInvadersNoFrameskip-v4", n_envs=1)
env = VecFrameStack(env, n_stack=4)
model = DQN.load("dqn-SpaceInvadersNoFrameskip-v4.zip", env=env)
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- Created
- Dec 27, 2025
- Updated
- Dec 27, 2025