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"""