
# **A2C** Agent playing **PandaReachDense-v2**
This is a trained model of a **A2C** agent playing **PandaReachDense-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).

## Usage (with Stable-baselines3)

```python
import pybullet_envs
import panda_gym
import gym

import os

from huggingface_sb3 import load_from_hub, package_to_hub

from stable_baselines3 import A2C
from stable_baselines3.common.evaluation import evaluate_policy
from stable_baselines3.common.vec_env import DummyVecEnv, VecNormalize
from stable_baselines3.common.env_util import make_vec_env

from huggingface_hub import notebook_login

load_model = load_from_hub(
	repo_id="kinkpunk/a2c-PandaReachDense-v2",
	filename="a2c-PandaReachDense-v2.zip",
)

model = A2C.load(load_model)

```

Panda Gym environments: [arxiv.org/abs/2106.13687](https://arxiv.org/abs/2106.13687)
{"library_name": "stable-baselines3", "tags": ["PandaReachDense-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaReachDense-v2", "type": "PandaReachDense-v2"}, "metrics": [{"type": "mean_reward", "value": "-1.65 +/- 0.14", "name": "mean_reward", "verified": false}]}]}]}
stable-baselines3 PandaReachDense-v2 deep-reinforcement-learning reinforcement-learning arxiv:2106.13687 model-index region:us
TAGS
#stable-baselines3 #PandaReachDense-v2 #deep-reinforcement-learning #reinforcement-learning #arxiv-2106.13687 #model-index #region-us 


# A2C Agent playing PandaReachDense-v2
This is a trained model of a A2C agent playing PandaReachDense-v2
using the stable-baselines3 library.

## Usage (with Stable-baselines3)



Panda Gym environments: URL
# A2C Agent playing PandaReachDense-v2
This is a trained model of a A2C agent playing PandaReachDense-v2
using the stable-baselines3 library. ## Usage (with Stable-baselines3)



Panda Gym environments: URL
TAGS
#stable-baselines3 #PandaReachDense-v2 #deep-reinforcement-learning #reinforcement-learning #arxiv-2106.13687 #model-index #region-us 
 # A2C Agent playing PandaReachDense-v2
This is a trained model of a A2C agent playing PandaReachDense-v2
using the stable-baselines3 library. ## Usage (with Stable-baselines3)



Panda Gym environments: URL
TAGS
#stable-baselines3 #PandaReachDense-v2 #deep-reinforcement-learning #reinforcement-learning #arxiv-2106.13687 #model-index #region-us 
# A2C Agent playing PandaReachDense-v2
This is a trained model of a A2C agent playing PandaReachDense-v2
using the stable-baselines3 library.## Usage (with Stable-baselines3)



Panda Gym environments: URL