refactor: set wandb entity and simplify READMEs

configs/README.md

@@ -2,91 +2,22 @@
 
 This directory contains configuration files for training experiments.
 
-## Quick Start
+## Usage
 
-### 1. Choose a Template
+Use `--config` with `src/train.py` to run an experiment:
 
-**For Development/Testing:**
 ```bash
-cp configs/dev_test.yaml configs/my_dev.yaml
+python src/train.py --config configs/default_ppo.yaml
 ```
 
-**For Production Training:**
+You can overriding settings via CLI:
 ```bash
-cp configs/production_training.yaml configs/my_experiment.yaml
+python src/train.py --config configs/default_ppo.yaml --learning-rate 0.001
 ```
 
-### 2. Configure Your Settings
+## Available Configurations
 
-Edit your config file and **set your wandb entity**:
-```yaml
-# ⚠️  IMPORTANT: Set this to your WandB username or team name
-wandb_entity: "your-wandb-username"  
-track: true  # Enable WandB logging
-```
-
-### 3. Run Training
-
-**Using config file:**
-```bash
-python src/train.py --config configs/my_experiment.yaml
-```
-
-**Override specific parameters:**
-```bash
-python src/train.py --config configs/my_experiment.yaml --learning-rate 0.001 --num-envs 32
-```
-
-**Pure CLI (no config file):**
-```bash
-python src/train.py --track --wandb-entity your-username --total-timesteps 1000000
-```
-
-## Features
-
-### 📊 WandB Integration  
-- Real-time metrics logging
-- Model checkpoints as artifacts
-- Run comparison and collaboration
-
-### 🔧 Flexible Configuration
-- YAML files for reproducible experiments
-- CLI overrides for quick adjustments  
-- Team collaboration without code changes
-
-## Configuration Templates
-
-### `dev_test.yaml`
-- Fast iteration for development
-- Short runs (100K timesteps)
-- Frequent checkpoints
-- Small environment count
-
-### `production_training.yaml`  
-- Full-scale training (50M timesteps)
-- Optimized hyperparameters
-- Production-ready settings
-
-### `default_ppo.yaml`
-- Baseline configuration template
-- Balanced settings for most use cases
-
-## Team Collaboration
-
-Each team member should create their own config file:
-
-```yaml
-# configs/alice_experiment.yaml
-exp_name: "alice_locomotion_v2"
-track: true
-wandb_project_name: "PPO-Modularity"
-wandb_entity: "alice-research"  # Alice's WandB username
-total_timesteps: 20000000
-# ... other settings
-```
-
-This allows everyone to:
-- Use their own WandB account
-- Run different experiments simultaneously  
-- Share configurations via version control
-- Avoid conflicts in run names
+- `default_ppo.yaml`: Baseline config.
+- `dev_test.yaml`: Fast iteration for development.
+- `production_training.yaml`: Full-scale training.
+- `personal_template.yaml`: Template for team members to customize.