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Thomas Simonini
2023-08-06 18:11:54 +02:00
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# Advantage Actor Critic (A2C) using Robotics Simulations with PyBullet and Panda-Gym 🤖 [[hands-on]]
# Advantage Actor Critic (A2C) using Robotics Simulations with Panda-Gym 🤖 [[hands-on]]
<CourseFloatingBanner classNames="absolute z-10 right-0 top-0"
@@ -14,9 +14,6 @@ Now that you've studied the theory behind Advantage Actor Critic (A2C), **you're
We're going to use
- [panda-gym](https://github.com/qgallouedec/panda-gym)
<img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit8/environments.gif" alt="Environments"/>
To validate this hands-on for the certification process, you need to push your two trained models to the Hub and get the following results:
- `PandaReachDense-v3` get a result of >= -3.5.