Reinforcement Learning
sample-factory
TensorBoard
deep-reinforcement-learning
JamesbondNoFrameskip-v4
Eval Results (legacy)
Instructions to use edbeeching/atari_2B_atari_jamesbond_2222 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sample-factory
How to use edbeeching/atari_2B_atari_jamesbond_2222 with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r edbeeching/atari_2B_atari_jamesbond_2222 -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
Commit ·
919f63f
1
Parent(s): 6500eaa
Upload .summary with huggingface_hub
Browse files
.summary/0/events.out.tfevents.1665949970.r12i4n4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:68b334f36f8cc7a239daf62ef35e82faa93407129d56fb34c8f76abcf08a7a78
|
| 3 |
+
size 17654456
|