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a2c-PandaReachDense-v3
Francesco-A/a2c-PandaReachDense-v3
a2c-PandaReachDense-v3 is a reinforcement learning model from Francesco-A. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. It is set up for stable-baselines3.
This is a trained model of a A2C agent playing PandaReachDense-v3 using the stable-baselines3 library.
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At a glance
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- Access
- Public
- Created
- Aug 19, 2023
- Updated
- Aug 19, 2023
- SHA
- 6bf1b772
Model card
From the Hugging Face model README
A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3 using the stable-baselines3 library.
Usage (with Stable-baselines3)
from stable_baselines3 import A2C
from huggingface_sb3 import load_from_hub
model = load_from_hub(repo_id='Francesco-A/a2c-PandaReachDense-v3',
filename= 'a2c-PandaReachDense-v3.zip')
Training details (last output)
| Metric | Value |
|---|---|
| rollout/ep_len_mean | 4.05 |
| rollout/ep_rew_mean | -0.317 |
| time/fps | 378 |
| time/iterations | 50000 |
| time/time_elapsed | 2641 |
| time/total_timesteps | 1000000 |
| train/entropy_loss | 1.25 |
| train/explained_variance | 0.975 |
| train/learning_rate | 0.0007 |
| train/n_updates | 49999 |
| train/policy_loss | -0.0935 |
| train/std | 0.185 |
| train/value_loss | 0.0306 |
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- Created
- Aug 19, 2023
- Updated
- Aug 19, 2023