Downloads · 30 days
3
100% of all-time downloads
a2c-PandaReachDense-v3
Conqueror25/a2c-PandaReachDense-v3
a2c-PandaReachDense-v3 is a reinforcement learning model from Conqueror25. 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 an A2C agent playing PandaReachDense-v3 using the stable-baselines3 library and Panda-Gym.
All-time downloads
3
Public
Repo size
424 KB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.mp4313 KB · 71%
At a glance
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- Access
- Public
- Created
- Sep 24, 2026
- Updated
- Sep 24, 2026
- SHA
- b03d6636
Model card
From the Hugging Face model README
A2C Agent playing PandaReachDense-v3
This is a trained model of an A2C agent playing PandaReachDense-v3 using the stable-baselines3 library and Panda-Gym.
Evaluation Results
- Mean Reward: -1.37 +/- 0.15
- Episodes Evaluated: 10
- Deterministic: True
Usage (with Stable-baselines3)
import gymnasium as gym
import panda_gym
from stable_baselines3 import A2C
from stable_baselines3.common.vec_env import DummyVecEnv, VecNormalize
from huggingface_sb3 import load_from_hub
# Load model and normalization statistics
repo_id = "Conqueror25/a2c-PandaReachDense-v3"
checkpoint = load_from_hub(repo_id, "a2c-PandaReachDense-v3.zip")
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- Created
- Sep 24, 2026
- Updated
- Sep 24, 2026