Comments (1)
I completely agree with this.
I'm currently struggling with the same issue. I'm eager to use graph neural networks to model this case, so it's crucial for me to understand the meaning of each element in the state information and establish the edges accordingly. I've also checked the walker.xml file, but I still can't confirm the necessary details.
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Related Issues (20)
- Which part of the library is the implementation of NEURAL PROBABILISTIC MOTOR PRIMITIVES FOR HUMANOID CONTROL?
- Do you have some official baseline of several traditional environments? such as SAC,TD3,DDPG,CURL etc?
- MJCF Parsing Error - Identifier Containing Separator HOT 4
- PyMJCF Keyframe Help HOT 1
- Attachment frames's inertial property
- Removing dclass-attribute HOT 2
- Attach a class-defined body to another class-defined body using joints HOT 1
- Code for training Virtual Rodent
- Find all sites of a default class
- `from_path` appends a redundant string to a mesh file name, which raises error when converting it to a `MjModel` HOT 2
- Rodent XML Actuators type HOT 1
- 1.0.21 release missing HOT 2
- Is there a way to get the .xml file of the locomotion soccer environment? Run environment in GPU?
- How to build uphill in DMControl
- Why jaco_arm/joints_pos shape is (1, 6, 2) and how to do joint position control?
- Bug in adding distance sensors using mjcf HOT 3
- NSInternalInconsistencyException When Using mjpython With composer.Environment on M1 Macbook HOT 1
- Use of MjSpec in environment
- `replicate` does not work in PyMJCF HOT 4
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