RLLBC-Lib：强化学习与学习控制的教育代码库
RLLBC-Lib: An Educational Code Library for Reinforcement Learning and Learning-Based Control
这个代码库对想学 RL 的同学特别友好，把复杂的理论用代码实现了，还能自动批改作业，比单纯看论文学起来快。
RLLBC-Lib 是一个专门为降低强化学习（RL）学习门槛而设计的代码库，包含全面的表格化 RL 方法实现，帮助学习者理解理论基础。它还提供深度 RL 库，强调简单表格化方法与先进深度 RL 方法之间的联系，并包含核心 RL 原理的示例实现，对比 RL 与其他学习控制方法。
RLLBC-Lib: An Educational Code Library for Reinforcement Learning and Learning-Based Control
Reinforcement learning (RL) is an exciting concept as well as a remarkable success story worth sharing. However, RL builds on rather complex interactions between different objects that play out over several cycles. Such dynamics are often best explained with an easily accessible implementation. We present RLLBC-Lib, a carefully crafted code library with the goal of lowering the entry barrier for students and other learners of RL in the context of learning-based control. At its heart, RLLBC-Lib comprises a comprehensive library of tabular RL approaches to enforce a clear understanding of the theoretical foundations. A deep RL library follows the same design principles, underscoring the parallels between simple tabular and state-of-the-art deep RL approaches. Additionally, RLLBC-Lib provides a collection of implementations illustrating core RL principles and contrasting RL to other learning-based control approaches. Finally, RLLBC-Lib provides an ideal basis for creating programming assignments with automated grading.
