【第60期】RLTools：基于C++的开源强化学习工具

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今天的主题是：

RLtools: A Fast, Portable Deep Reinforcement Learning Library for Continuous Control

Summary

RLtools, a new open-source C++ library, significantly accelerates deep reinforcement learning (RL) for continuous control problems. Its header-only, dependency-free design enables fast training and inference across diverse platforms, from high-performance computers to microcontrollers. This speed improvement is demonstrated through benchmarks showing substantial performance gains over existing RL frameworks. A key contribution is the first-ever demonstration of training a deep RL algorithm directly on a microcontroller, opening the field of "TinyRL." The library's architecture, based on C++ templating and a novel static multiple-dispatch paradigm, is central to its speed and portability.

原文链接：https://arxiv.org/abs/2306.03530

庆祝完成两个月的更新～