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---
library_name: stable-baselines3
tags:
- PandaReachDense-v3
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: A2C
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: PandaReachDense-v3
type: PandaReachDense-v3
metrics:
- type: mean_reward
value: -0.20 +/- 0.09
name: mean_reward
verified: false
---
# **A2C** Agent playing **PandaReachDense-v3**
This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
```python
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
|