Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use NorbertRop/qrdqn-SpaceInvadersNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use NorbertRop/qrdqn-SpaceInvadersNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="NorbertRop/qrdqn-SpaceInvadersNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download config.yml from NorbertRop/qrdqn-SpaceInvadersNoFrameskip-v4: direct link, hf CLI and curl.
- Browser
- Download file 320 Bytes
-
https://huggingface.co/NorbertRop/qrdqn-SpaceInvadersNoFrameskip-v4/resolve/f67cce7c8a81488a6a96b3a3acb34d550f878dd1/config.yml
- Command line
-
hf download hf://NorbertRop/qrdqn-SpaceInvadersNoFrameskip-v4@f67cce7c8a81488a6a96b3a3acb34d550f878dd1/config.yml
-
curl -L -o config.yml https://huggingface.co/NorbertRop/qrdqn-SpaceInvadersNoFrameskip-v4/resolve/f67cce7c8a81488a6a96b3a3acb34d550f878dd1/config.yml
320 Bytes
| !!python/object/apply:collections.OrderedDict | |
| - - - batch_size | |
| - 64 | |
| - - env_wrapper | |
| - - stable_baselines3.common.atari_wrappers.AtariWrapper | |
| - - exploration_fraction | |
| - 0.025 | |
| - - frame_stack | |
| - 4 | |
| - - n_timesteps | |
| - 10000000.0 | |
| - - optimize_memory_usage | |
| - false | |
| - - policy | |
| - CnnPolicy | |