最近组里在讨论接下来在强化学习这块的研究方向,在讨论之前,我们把强化学习各个子方向的论文都粗略过了一下,涉及到model-free/model-based/multi-agent/deep exploration/meta-learning/imitation learning/application/distributed training等方向。我想着当时查找阅读相关文章花费了不少精力,决定开个专栏把我看的论文给整理...
最近组里在讨论接下来在强化学习这块的研究方向,在讨论之前,我们把强化学习各个子方向的论文都粗略过了一下,涉及到model-free/model-based/multi-agent/deep exploration/meta-learning/imitation learning/application/distributed training等方向。我想着当时查找阅读相关文章花费了不少精力,决定开个专栏把我看的论文给整理...
observer-based distributed optimal control protocol for discrete-time heterogeneous multiagent systems with input constraints via model-free reinforcement learning... T Zhang,Y Jia - 《Asian Journal of Control Affiliated with Acpa the Asian Control Professors Association》 被引量: 0发表: 2024年 Adaptiv...
1. 引言 最近在大型语言模型（LLMs）方面的进展代表了人工智能的重大飞跃。前沿模型如ChatGPT（John Sch...
A method of learning a model includes receiving model updates from one or more users. The method also includes computing an updated model based on a previous model and the model updates. The method further includes transmitting data related to a subset of the updated model to the a user(s)...
Distributed Caching and Scalability Composing Applications with Silverlight and Prism JavaScript Improvements: A Brownfield Development Series Brownfield Series N-Tier Application Patterns Editor's Note: Viva la Evolution! SOAP, REST, and More RESTful Services with ASP.NET MVC and XHTML Separation of Co...
Event-triggered distributed optimization for model-free multi-agent systems Inspired by the food foraging behavior of beetles, we propose herein a model-free meta-heuristic optimization algorithm, referred to as the Beetle Antennae... S Zheng,S Liu,L Wang - 信息技术与电子工程前沿 被引量: 0发表...
EBVaGC is also linked to some other positive morphological features like medullary histology and vacuolar nucleus (most chromatin distributed at the peripheral nucleus rather than the central nucleus) or recognizable nucleolus, and negative features like mucinous differentiation, adenoid differentiation (tumor...
Key: distributed model-based rl, speed up EfficientZero OpenReview: 6, 6, 5 ExpEnv:atari 100k Transformer-based World Models Are Happy With 100k Interactions Jan Robine, Marc Höftmann, Tobias Uelwer, Stefan Harmeling Key: autoregressive world model, Transformer-XL, balanced cross-entropy loss...
When the training data volume is large, the training of the deep learning model is time-consuming. The acceleration of deep learning training has always been an important concern to the academia and the industry. Distributed training acceleration needs to be considered in terms of software and har...