Locomotion policy trained in just 78 seconds in custom simulator
yacineMTB · x · 2026-08-30
The author adds that the locomotion policy mentioned in the previous post — trained in the custom simulator dingsim and transferable to MuJoCo — took only 78 seconds to train, highlighting the simulator's throughput and sim2real potential.
Related event: RL Locomotion Policy Trained in 78 Seconds on Custom Simulator(2 posts)→
More from Embodied
- Using an iPhone 13 mini as a Reinforcement Learning Environment — willcb · 2026-09-01
- Avatar with Whole-Body Touch, Spatial Hearing, and Physical Voice in One Simulation — bhartsb · 2026-09-01
- NVIDIA Introduces ADEPT: Zero-Shot Real-World Transfer of Sim-Trained Visuo-Tactile Policies — dr_alphalyrae · 2026-09-01
- Unitree G1 performs aerial flips in forest powered by BeyondMimic — CyberRobooo · 2026-09-01
- SpaceX Removes 12.1 Tons of Debris from Boca Chica Beach — DimaZeniuk · 2026-09-01
- Chinese Humanoid Robots Dominate IFA: UBTECH, Unitree, and More — CyberRobooo · 2026-09-01