Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Developer-Karthi/dqn-SpaceInvadersNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Developer-Karthi/dqn-SpaceInvadersNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Developer-Karthi/dqn-SpaceInvadersNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download replay.mp4 from Developer-Karthi/dqn-SpaceInvadersNoFrameskip-v4: direct link, hf CLI and curl.
- Browser
- Download file 192 kB
-
https://huggingface.co/Developer-Karthi/dqn-SpaceInvadersNoFrameskip-v4/resolve/main/replay.mp4
- Command line
-
hf download hf://Developer-Karthi/dqn-SpaceInvadersNoFrameskip-v4/replay.mp4
-
curl -L -o replay.mp4 https://huggingface.co/Developer-Karthi/dqn-SpaceInvadersNoFrameskip-v4/resolve/main/replay.mp4
192 kB
- Xet hash:
- a9975b094a6b1dc191d8daf72b356dc1b93fe183b93e807f864c16248921840c
- Size of remote file:
- 192 kB
- SHA256:
- 5826822aa28b526df2b912c75d0cfaed4154195e6e154965b6f9085421c98d9b
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