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rsl-rl

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Isaac Lab RL training triage agent: Nemotron 3 Super ranks failure mechanisms and picks approval-gated probes, a registered correction retrains the policy, and a fixed behavior evaluation judges recovery. Nemotron 3.5 Super VL adds policy-video observations. NeMo Agent Toolkit + OpenShell; Go2, ANYmal-C. Korea Agentic AI Hackathon 2026, Team Mollet

  • Updated Oct 24, 2026
  • Python

NVIDIA Isaac Lab / Isaac Sim task for Unitree G1 humanoid RL: whole-body motion tracking, hierarchical AMP locomotion (skrl), and waypoint racing. Race PPO (10 Hz) commands a frozen AMP actor over a frozen tracker (50 Hz). Train with RSL-RL; EnvHub-reproducible race eval. Nepher Robotics.

  • Updated Aug 16, 2026
  • Python

Sim2Sim RL for humanoid-robot: train locomotion policies with PPO (RSL-RL) in NVIDIA Isaac Sim / Isaac Lab, export them to ONNX, and validate the same policy in MuJoCo via an observation, joint-mapping and PD-control adapter. Demonstrated on the Unitree G1 29-DoF humanoid.

  • Updated Oct 13, 2026
  • Python

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