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Erinda
/

a2c-panda-reach

Reinforcement Learning

stable-baselines3

PandaReachJointsDense-v3

deep-reinforcement-learning

Eval Results (legacy)

Model card Files Files and versions

Instructions to use Erinda/a2c-panda-reach with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

stable-baselines3

How to use Erinda/a2c-panda-reach with stable-baselines3:

from huggingface_sb3 import load_from_hub
checkpoint = load_from_hub(
	repo_id="Erinda/a2c-panda-reach",
	filename="{MODEL FILENAME}.zip",
)

Notebooks
Google Colab
Kaggle

a2c-panda-reach

246 kB

Ctrl+K

Ctrl+K

1 contributor

History: 2 commits

Erinda's picture

Add A2C model trained on PandaReachJointsDense-v3

e14159f verified 4 months ago

a2c-PandaReachJointsDense-v3
Add A2C model trained on PandaReachJointsDense-v3 4 months ago
.gitattributes

1.52 kB
initial commit 4 months ago
README.md

832 Bytes
Add A2C model trained on PandaReachJointsDense-v3 4 months ago
a2c-PandaReachJointsDense-v3.zip
Pickle imports
- No problematic imports detected
What is a pickle import?
115 kB
xet

Add A2C model trained on PandaReachJointsDense-v3 4 months ago
config.json

14.5 kB
Add A2C model trained on PandaReachJointsDense-v3 4 months ago
results.json

168 Bytes
Add A2C model trained on PandaReachJointsDense-v3 4 months ago