Exploring Pymjcf Creatures
Let's dive into the details surrounding Pymjcf Creatures.
- Screen capture of MuJoCo model with active adhesion actuators with support for excluded contacts ("suction at a distance") ...
- Preliminary solutions of two tasks from the DeepMind Control Suite `dog` domain. Agents are trained with Multi-Objective MPO [1].
- For more details see publication [1] and full-length video [2]. [1] https://arxiv.org/abs/2105.12196 [2] ...
- Example of using a reference site for 6D end-effector control in MuJoCo. See documentation for more details: ...
- See Song et al (2019), for details regarding the learning algorithm. https://arxiv.org/abs/1909.12238.
In-Depth Information on Pymjcf Creatures
Animation produced by the Please see DeepMind's announcement at https://dpmd.ai/mujoco-blog for context. Please see publication [1] and model [2] for details. [1] https://www.sciencedirect.com/science/article/pii/S2665963820300099 [2] ... This environment is described in this paper: https://arxiv.org/abs/2006.12983 The agent used is Abdolmaleki's MPO (2018): ...
A showcase of selected DeepMind publications using dm_control. Paper: https://arxiv.org/abs/2006.12983 Github: ...
That wraps up our extensive overview of Pymjcf Creatures.
