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V1 · 소프트웨어 · Oct 2, 2026

Walking policy trained in simulation

Final policy, seven commands in turn · 11 s
From 0 to 1 billion steps · 2 min 4 s

The upstream Pupper v3 MJX pipeline, run on one lab GPU. One policy stands, walks, strafes and turns.

  • 1 billion steps
  • 1 h 41 min on an RTX 3080 Ti
  • Reward 0.77 → 19.19
  • Episode length 262 → 476 of 500

Policy and reward

Inputs and outputs

Body rotation rate3
Gravity direction3
Velocity command3
Orientation target3
Joint angles12
Previous action12
Per step × 4 steps36 × 4 = 144
Output12 joint targets, q0 + 0.75 a
Motor PDkp 5.0, kd 0.25

Network

OursOfficial
Input history4 steps20 steps
Hidden layers256, 128, 128, 1281024, 512, 512, 512
Parameters0.10 M1.79 M
Action range±0.75 rad±1.0 rad

Reward weights

Forward and sideways speed1.5
Yaw rate0.8
Upright body0.5
Knee contact−10
Foot slip−0.2
Action change−0.1
Torque−0.025
Roll and pitch rate−0.002