Fix Hydra config error in dev script

- Change train.n_iters to train.n_epochs (correct DPPO parameter)
- Update experiment tracking with failed job details
- Ready for corrected dev test

EXPERIMENT_PLAN.md

@@ -71,7 +71,7 @@ TASK=hopper MODE=pretrain sbatch slurm/run_dppo_gym.sh
 
 | Job ID | Type | Task | Mode | Status | Duration | Results |
 |--------|------|------|------|---------|----------|---------|
-| 3445081 | dev test | hopper | pretrain | PENDING | 30min | - |
+| 3445081 | dev test | hopper | pretrain | ❌ FAILED | 33sec | Hydra config error |
 
 ## Configuration Notes
 
@@ -87,7 +87,11 @@ export WANDB_ENTITY=<your_username>
 
 ## Issues Encountered
 
-None so far - installation completed without code modifications.
+### Fixed Issues
+1. **Hydra Configuration Error** (Job 3445081)
+   - Issue: Wrong parameter names in dev script (`train.n_iters` instead of `train.n_epochs`)
+   - Fix: Updated to use correct DPPO config parameters
+   - Status: Fixed in commit
 
 ## Next Steps
 

slurm/run_dppo_dev.sh

@@ -41,12 +41,11 @@ echo "PyTorch version: $(python -c 'import torch; print(torch.__version__)')"
 echo "CUDA available: $(python -c 'import torch; print(torch.cuda.is_available())')"
 echo ""
 
-# Run a quick pre-training test with reduced steps
+# Run a quick pre-training test with reduced epochs
 python script/run.py --config-name=pre_diffusion_mlp \
     --config-dir=cfg/gym/pretrain/hopper-medium-v2 \
-    train.n_iters=10 \
-    train.log_interval=5 \
-    train.checkpoint_interval=10 \
+    train.n_epochs=2 \
+    train.save_model_freq=1 \
     wandb=${WANDB_MODE:-null}
 
 echo "Dev test completed!"