bettermdptools.algorithms

This module contains implementations of various reinforcement learning and planning algorithms.

Overview

The algorithms module provides a comprehensive collection of reinforcement learning and planning algorithms. These implementations are designed to be flexible and efficient, allowing users to apply them to a wide range of environments and problems.

Key Components

  • Model-Free Algorithms: Implementations of popular model-free RL algorithms such as Q-Learning and SARSA.
  • Model-Based Algorithms: Implementations of planning algorithms like Value Iteration and Policy Iteration.
  • Hybrid Algorithms: Algorithms that combine elements of both model-free and model-based approaches.
 1r"""
 2This module contains implementations of various reinforcement learning and planning algorithms.
 3
 4## Overview
 5
 6The algorithms module provides a comprehensive collection of reinforcement learning and planning algorithms. These implementations are designed to be flexible and efficient, allowing users to apply them to a wide range of environments and problems.
 7
 8## Key Components
 9
10- **Model-Free Algorithms**: Implementations of popular model-free RL algorithms such as Q-Learning and SARSA.
11- **Model-Based Algorithms**: Implementations of planning algorithms like Value Iteration and Policy Iteration.
12- **Hybrid Algorithms**: Algorithms that combine elements of both model-free and model-based approaches.
13"""