RL training for robot control using simulation with sim-to-real transfer
Expert skill for training reinforcement learning agents for robot control tasks, including environment design, training pipelines, and sim-to-real transfer.
This skill is invoked when processes require RL-based robot control, learning from simulation, or transferring learned policies to real robots.