- Pre-training: diffusion model on offline D4RL data (200 epochs)
- Fine-tuning: PPO fine-tune with online environment interaction
- Dev test: 2 epochs only for quick verification, not full training
- Configure DPPO_WANDB_ENTITY environment variable in dev script
- Update README with clear WandB setup instructions
- Remove wandb=null to enable logging when credentials are set
- Disable WandB in dev script to avoid config object vs string error
- Successfully completed development test (Job 3445106)
- Confirmed: pre-training works, loss reduces, checkpoints save
- Update experiment tracking with successful results
- Document installation process using Python 3.10 venv
- Add usage examples for SLURM job submission
- Document available environments and resource allocations
- Add WandB configuration instructions
- List all repository changes made for HoReKa compatibility