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# ActiveRagdollControllers | ||
Research into controllers for 2d and 3d Active Ragdolls (using MujocoUnity+ml_agents) | ||
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### Controll001 | ||
* **Type:** Discrete 2D | ||
* **Actions:** Forward / Backwards | ||
* **Mujoco Model:** DeepMindHopper | ||
* **Hypostheis**: It should be simple to train a backwards / forwards by giving the agent a +1 / 1 velocity target which feeds the reward function. | ||
* **Outcome:** It worked - but was harder than expected to find good hyper-parms. Next, wrap this in a proper ml-agent controller and allow user input. | ||
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