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michaelyeah7 authored Aug 28, 2021
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RobLAX is a differentiable rigid body physics engine with contact1constraints that can assists various model-based methods.
RobLAX is written in JAX and implements [environments](envs) and [model-base algorithm](model_based_RL.py) using [jbdl](https://github.com/Tencent-RoboticsX/jbdl). A render and urdf parser also included to extend to more realistic robotic application.

Brax also includes a suite of learning algorithms that train agents in seconds to minutes:
RobLAX also includes a suite of learning algorithms that train agents in seconds to minutes:
* Baseline learning algorithms such as
[PPO](https://github.com/michaelyeah7/roblax/blob/Guo/PPO.py),
[SAC](hhttps://github.com/michaelyeah7/roblax/blob/Guo/SAC.py)
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version = {0.1.4},
year = {2021},
}
```
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