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a2c-PandaReachDense-v3
roshana1s/a2c-PandaReachDense-v3
a2c-PandaReachDense-v3 is a reinforcement learning model from roshana1s. 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 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 23, 2026
- Updated
- Aug 23, 2026
- SHA
- 192dfd50
Model card
From the Hugging Face model README
A2C Agent playing PandaReachDense-v3
This is a trained A2C agent playing PandaReachDense-v3 using the Stable-Baselines3 library.
Model
- Algorithm: A2C
- Environment: PandaReachDense-v3
- Library: Stable-Baselines3
- Task: Robotic arm reaching a target position
Usage with Stable-Baselines3
from stable_baselines3 import A2C
from huggingface_sb3 import load_from_hub
checkpoint = load_from_hub(
repo_id="roshana1s/a2c-PandaReachDense-v3",
filename="a2c-PandaReachDense-v3.zip"
)
model = A2C.load(checkpoint)
The trained agent learns to control the Panda robotic arm and move its end-effector toward the target position while maximizing the environment reward.
Repository
Model available on Hugging Face:
roshana1s/a2c-PandaReachDense-v3
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- Created
- Aug 23, 2026
- Updated
- Aug 23, 2026