About this document
Q-Learning in OpenAI Gym: FrozenLake by zb lai is a document available to read on EtoBox.
The document introduces reinforcement learning and the key concepts used in reinforcement learning, including environments, agents, states, actions, and rewards. It then explains the Q-learning algorithm and how it uses a Q-table to learn the best actions for an agent to take in each state based on the rewards received. The document provides an example of using Q-learning to train an agent to navigate the FrozenLake environment from OpenAI Gym.
- Author
- zb lai
- Language
- EN