Reinforcement Learning

Train intelligent agents that learn optimal behavior through interaction with environments.

Quick Start

OpenAI Gymnasium Setup

import gymnasium as gym
import numpy as np

# Create environment
env = gym.make('CartPole-v1')

# Environment info
print(f"Observation space: {env.observation_space}")
print(f"Action space: {env.action_space}")