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a2c-PandaReachDense-v3
maryna-13/a2c-PandaReachDense-v3
a2c-PandaReachDense-v3 is a machine learning model from maryna-13. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This repository contains an Advantage Actor-Critic (A2C) agent trained using Stable-Baselines3.
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Public
Updated Dec 17, 2025
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At a glance
- Access
- Public
- Created
- Dec 15, 2025
- Updated
- Dec 17, 2025
- SHA
- ae5708dd
Model card
From the Hugging Face model README
A2C on PandaReachDense-v3
This repository contains an Advantage Actor-Critic (A2C) agent trained using Stable-Baselines3.
Environment
- Name: PandaReachDense-v3
- Framework: panda-gym (PyBullet)
- Task: Reach a target position with a robotic arm
Algorithm
- Algorithm: Advantage Actor-Critic (A2C)
- Library: Stable-Baselines3
Training
The agent was trained in a headless environment (Google Colab). Due to PyBullet rendering limitations, the evaluation video was generated separately.
Video
A replay of the trained agent is available in the videos/replay.mp4 file.
Author
maryna-13
- Created
- Dec 15, 2025
- Updated
- Dec 17, 2025