Training data from simulation and physical experiments

<b>Description:</b><br>This dataset includes the training data and trained models used in our study on autonomous microrobot control via model-based reinforcement learning (MBRL). The data encompasses both simulation and physical experiment results used to train and evaluate an ultrasound-actuated microrobot navigating microfluidic environments.Specifically, the repository contains:<b>Training logs and reward trajectories</b> for MBRL agents across six environments: Racetrack, SPA, Multi-Output Tributary, Vascular, Mixed, and Randomized channels.<b>Trained model checkpoints</b> for each of these environments.<b>Fine-tuning results</b> from real-world experiments, including target success rates