Getting Started with Parent-Taught Driver Education. The parent taught program is complex and requires parents, guardians, and designees to work with multiple entities. The Driver Education Teen course consists of a minimum of 32 hours of classroom instruction, 7 hours of in-car observation, 7 hours of behind the wheel supervised instruction, and 30 additional hours of …

Oct 17, 2022 · Furthermore, we introduce a novel paradigm named Personalized Training with Distilled Execution (PTDE), wherein agent-personalized global information is distilled into the agent's local information. This distilled information is then utilized during decentralized execution, resulting in minimal performance degradation.

本文介绍了一种新颖的多智能体强化学习方法，称为个性化训练与蒸馏执行( Personalized Training with Distilled Execution, PTDE）。 该方法通过引入全球信息个性化模块（GIP），为每个智能体定制适合的全球信息，…

2）PTDE提出了一种Personalized state，如何把全局state特定化到每个智能体i，并且对任意智能体i都是有帮助的。 具体方法上我们采用了 hypernetwork 实现了Personalized Training，可以认为最终得到的策略表示为π_i(a_i|o_i, s_i)。

• We introduce a novel paradigm named PTDE, which not only benefit from agent-personalized global infor-mation but also executes in a decentralized manner through knowledge distillation. Importantly, our ex-periments demonstrate minimal performance degrada-tion after distilling agent-personalized global informa-

May 17, 2024 · ptde的核心思想. ptde 范式符合 ctde 的要求，但与传统 ctde 不同的是 ptde 强调为每个智能体提供个性化的全局信息，并通过知识蒸馏将这些个性化的全局信息通过智能体的局部信息预测得到。

PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning >内容简介：CTDE已成为多智能体强化学习中广泛采用的范例，强调利用全局信息来学习增强的联合 Q 函数或集中critic。 相比之下，该研究深入研究利用全局信息来直接增强个体 Q 函数或个 …

本文提出了一种新颖的范式（Personalized Training with Distilled Execution, PTDE）来实现这一目标。 现有方法的局限性 ： 在多智能体强化学习的研究中，一个突出的范式是集中训练与分散执行（CTDE）。

This is the code of PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning.

Nov 20, 2024 · 本文提出了一种名为ptde（个性化训练与蒸馏执行）的新范式，通过个性化全球信息和知识蒸馏，实现多智能体强化学习中的去中心化执行，显著提升了智能体的协作性能。