# Core ML and RL libraries
numpy>=1.21.0
pandas>=1.5.0
scikit-learn
scipy>=1.9.0

# Deep Learning and RL
torch>=1.13.0
gymnasium>=0.26.0
stable-baselines3>=1.8.0

# Data handling and preprocessing
joblib>=1.2.0
pickle-mixin>=1.0.2

# Plotting and visualization
matplotlib>=3.6.0
seaborn>=0.11.0
plotly>=5.15.0

# Progress tracking
tqdm>=4.64.0

# Configuration and logging
pyyaml>=6.0
tensorboard>=2.11.0

# Memory and performance optimization
psutil>=5.9.0
memory-profiler>=0.60.0

# Statistical analysis
statsmodels>=0.13.0

black

gymnasium
polars
