A benchmark study finds that increased randomization improves Sim2Real transfer in robotic RL despite trade-offs in simulation learning, with full randomization and fine-tuning outperforming other approaches on the real robot.
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World,
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Analysis of Randomization Effects on Sim2Real Transfer in Reinforcement Learning for Robotic Manipulation Tasks
A benchmark study finds that increased randomization improves Sim2Real transfer in robotic RL despite trade-offs in simulation learning, with full randomization and fine-tuning outperforming other approaches on the real robot.