Reinforcement Learning

The following workflows demonstrate end-to-end reinforcement learning with Isaac Lab Arena, covering environment setup, policy training, and closed-loop evaluation.

Currently, the following reinforcement learning workflow examples are provided:

• Franka Lift Object Task — Franka Panda, PhysX, joint-position control

• Dexsuite Kuka Allegro Lift Task (Newton) — Kuka + Allegro hand, Newton physics, dexterous manipulation

• Franka Lift Object Task
• Dexsuite Kuka Allegro Lift Task (Newton)