Reinforcement Learning
stable-baselines3
PandaReachDense-v3
PandaReachDense
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use SimhaSimha/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use SimhaSimha/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="SimhaSimha/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
File size: 286 Bytes
3b64053 | 1 2 3 4 5 6 7 8 9 10 11 | {
"env_id": "PandaReachDense-v3",
"episodes": 10,
"seed": 42,
"mean_reward": -10.995390875078737,
"std_reward": 14.42657599343377,
"score_mean_minus_std": -25.421966868512506,
"success_rate": 0.5,
"min_reward": -42.178568080067635,
"max_reward": -0.04786994680762291
} |