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Gabe Margolis
2022-12-02 13:03:03 -05:00
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@@ -47,8 +47,8 @@ Rudin, Robotic Systems Lab, ETH Zurich. All redistributed code retains its
original [license](LICENSES/legged_gym/LICENSE).
Our initial release provides the following features:
* Train reinforcement learning policies for the Go1 robot using PPO, IsaacGym, Domain Randomization and Parametric Auxiliary Rewards.
* Evaluate a pretrained parametric auxiliary reward policy in simulation.
* Train reinforcement learning policies for the Go1 robot using PPO, IsaacGym, Domain Randomization, and Multiplicity of Behavior (MoB).
* Evaluate a pretrained MoB policy in simulation.
* Deploy learned policies on the Go1 using the `unitree_legged_sdk`.
## System Requirements <a name="requirements"></a>