Complete HoReKa README with experiment management tools

- Added reference to experiment_plan.md for current progress
- Updated running instructions with batch experiment commands
- Added monitoring tools and paper replication workflow
- Listed all available scripts and their purposes
- Complete install and run instructions for HoReKa users

README.md

@@ -15,6 +15,8 @@ For more information, please see our [project webpage](https://younggyo.me/fast_
 
 This repository includes optimized scripts for running FastTD3 on the HoReKa supercomputer cluster with SLURM job scheduling and wandb logging.
 
+**📋 Current Progress**: See [experiment_plan.md](experiment_plan.md) for ongoing paper replication experiments and job tracking.
+
 ### Installation on HoReKa
 
 ```bash
@@ -58,37 +60,55 @@ python test_setup.py
 
 ### Running on HoReKa
 
-**Easy submission:**
+**Single job submission:**
 ```bash
 python submit_job.py
 ```
 
+**Batch experiments (paper replication):**
+```bash
+# Submit Phase 1: MuJoCo Playground (4 tasks × 3 seeds)
+python submit_experiment_batch.py --phase 1 --seeds 3
+
+# Submit Phase 2: IsaacLab (6 tasks × 3 seeds) 
+python submit_experiment_batch.py --phase 2 --seeds 3
+
+# Submit Phase 3: HumanoidBench (5 tasks × 3 seeds)
+python submit_experiment_batch.py --phase 3 --seeds 3
+```
+
+**Monitor experiments:**
+```bash
+# Check job status
+squeue -u $USER
+
+# Monitor experiments with tracking
+python monitor_experiments.py --watch
+
+# View specific job output
+tail -f logs/fasttd3_*.out
+
+# Cancel job if needed
+scancel <job_id>
+```
+
 **Manual submission:**
 ```bash
 sbatch run_fasttd3.slurm
 ```
 
-**Monitor jobs:**
-```bash
-# Check job status
-squeue -u $USER
-
-# View output
-tail -f fasttd3_<job_id>.out
-
-# Cancel job if needed
-scancel <job_id>
-```
-
 ### Configuration
 
 The setup includes:
-- **SLURM script** (`run_fasttd3.slurm`) configured for accelerated partition with GPU
-- **Job helper** (`submit_job.py`) for easy job submission with wandb setup
+- **SLURM scripts** (`run_fasttd3.slurm`, `run_fasttd3_full.slurm`) configured for accelerated partition with GPU
+- **Job helpers** (`submit_job.py`, `submit_experiment_batch.py`) for single/batch job submission
+- **Monitoring tool** (`monitor_experiments.py`) for real-time experiment tracking
 - **Test script** (`test_setup.py`) for environment verification
-- **MuJoCo Playground environment** (`T1JoystickFlatTerrain`) for humanoid control
-- **Automatic GPU detection** and CUDA 12.4 compatibility
+- **Experiment plan** (`experiment_plan.md`) with current progress and TODO tracking
+- **MuJoCo Playground environment** (`T1JoystickFlatTerrain`) working and tested
+- **Automatic GPU detection** and CUDA 12.4 compatibility  
 - **Wandb logging** with online mode by default
+- **Paper-accurate hyperparameters** for systematic replication
 
 ### Wandb Integration