Welcome to the TensorFlow Reinforcement Learning (RL) tutorial! This guide will walk you through building and training a simple RL agent using TensorFlow. 🤖

Getting Started

  1. Install TensorFlow
    Make sure you have TensorFlow installed. If not, run: 

    pip install tensorflow

  2. Explore the Example
    Let's start with a basic Q-learning implementation. Check out our official TensorFlow RL documentation for more advanced examples.

Key Concepts

  • Agent-Environment Interaction
    An agent learns by interacting with an environment. 📈

    Reinforcement_Learning

  • Reward System
    The agent receives rewards to guide its learning. 🏆

    Reward_Mechanism

Code Snippets

Here's a simple code structure to get you started: 

import tensorflow as tf
# ... your RL code here ...

For a full example, visit our TensorFlow RL quickstart guide.

Further Reading

TensorFlow_Logo