Introduction to Reinforcement Learning with OpenAI Gym.

作者：禅与计算机程序设计艺术

1.简介

Reinforcement learning (RL) is a type of machine learning where an agent learns to make decisions by trial and error through interactions with its environment. It has become a popular field in the last decade because it enables agents to learn complex tasks from raw experience without being explicitly programmed. RL algorithms are designed to maximize long-term reward by finding optimal actions based on the cumulative reward received during the interaction between agent and environment. However, building and training an RL agent requires expert knowledge of the problem domain and a deep understanding of reinforcement learning techniques such as value functions, policies, Q-learning algorithm etc.

To help developers quickly understand how to build and train an RL agent using OpenAI Gym library, we will provide step-by-step tutorials on how to use the Python programming language along with OpenAI Gym to implement various