Scholarlink

Before turning the attention in the direction of XRL to answer the question of how to automatically generate causal explanations for RL agents, it is necessary to set the background regarding RL. Therefore, in this chapter, the theoretical information fundamental to understanding the classical problems addressed in this thesis is introduced.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

An Introduction to Reinforcement Learning

  • 章节

  • 发表日期：

    2026年

查看全文
  • Rudy Milani

摘要

Before turning the attention in the direction of XRL to answer the question of how to automatically generate causal explanations for RL agents, it is necessary to set the background regarding RL. Therefore, in this chapter, the theoretical information fundamental to understanding the classical problems addressed in this thesis is introduced.