W&B and TensorBoard¶
Training configs default to TensorBoard through training.logger=tensorboard.
Set training.logger=wandb to use Weights & Biases. The shared W&B fields live
in the training config blocks, including wandb_project, wandb_entity,
wandb_group, wandb_name, wandb_tags, wandb_notes, and wandb_mode.
Examples¶
uv run train --algo ppo --task go2_joystick_flat --sim mujoco training.logger=tensorboard
uv run train --algo ppo --task go2_joystick_flat --sim mujoco \
training.logger=wandb \
training.wandb_project=unilab
ExperimentTracker in src/unilab/training/experiment.py writes
run_config.json and run_summary.json in the run directory. For RSL-RL PPO,
the script also patches the RSL-RL W&B writer when training.logger=wandb.