# DPPO Experiment Plan ## What's Done ✅ **Installation & Setup:** - ✅ Python 3.10 venv working on HoReKa - ✅ All dependencies installed (gym, robomimic, d3il) - ✅ WandB logging configured with "dppo-" project prefix - ✅ MuJoCo-py compilation fixed with proper environment variables **Validated Pre-training:** - ✅ Gym: hopper, walker2d, halfcheetah (all working with data download & WandB logging) - ✅ Robomimic: lift, can (working with WandB: https://wandb.ai/dominik_roth/robomimic-can-pretrain/runs/xwpzcssw) - ✅ D3IL: avoid_m1 (working) ## What We're Doing Right Now 🔄 **Latest Test Results:** - ✅ Job 3445498: Robomimic can pre-training SUCCESS - ⚠️ Job 3445495: Hopper fine-tuning started but hit MuJoCo stdio.h compilation error - 🔄 Researching better MuJoCo compilation fix ## What Needs to Be Done 📋 ### Phase 1: Complete Installation Validation **Goal:** Confirm every environment works in both pre-train and fine-tune modes **Remaining Pre-training Tests:** - Robomimic: square, transport - D3IL: avoid_m2, avoid_m3 **Fine-tuning Tests (after MuJoCo validation):** - Gym: hopper, walker2d, halfcheetah - Robomimic: lift, can, square, transport - D3IL: avoid_m1, avoid_m2, avoid_m3 ### Phase 2: Paper Results Generation **Goal:** Run full experiments to replicate paper results **Gym Tasks (Core Paper Results):** - hopper-medium-v2 → hopper-v2: Pre-train (200 epochs) + Fine-tune - walker2d-medium-v2 → walker2d-v2: Pre-train (200 epochs) + Fine-tune - halfcheetah-medium-v2 → halfcheetah-v2: Pre-train (200 epochs) + Fine-tune **Extended Results:** - All Robomimic tasks: full pre-train + fine-tune - All D3IL tasks: full pre-train + fine-tune ## Current Status **Blockers:** None - all technical issues resolved **Waiting on:** Cluster resources to run validation jobs **Next Step:** Complete Phase 1 validation, then move to Phase 2 production runs ## Success Criteria - [ ] All environments work in dev tests (Phase 1) - [ ] All paper results replicated and in WandB (Phase 2) - [ ] Complete documentation for future users