The Transformer-based Multi-Agent Actor-Critic Framework (T-MAAC) is based on MAPDN. Please refer to that repo for more documentation. Installation We suggest you install dependencies with Dockerfile and run the code with Docker. docker build . -t tmaac Downloading the Dataset We use load pr...
[22] SUN P, XIONG J, HAN L, et al. TLeague: a framework for competitive self -play based distributed multi -agent rein forcement learning[EB/OL].(2020-11-30) [2022-09-01].http://arxiv.org/abs/2011.12895. [23] ZHOU M, ...
is an advanced model designed to simultaneously perform cell segmentation and classification for image-based spatial omics data. Unlike conventional two-step approaches, it employs a multitask learning framework to enhance accuracy in both tasks using transformer-based...
[22] SUN P, XIONG J, HAN L, et al. TLeague: a framework for competitive self -play based distributed multi -agent rein forcement learning[EB/OL].(2020-11-30) [2022-09-01].http://arxiv.org/abs/2011.12895. [23] ZHOU M, WAN Z, WANG H, et al. MALib: a parallel framework for...
[23] ZHOU M, WAN Z, WANG H, et al. MALib: a parallel framework for population-based multi-agent reinforcement learning[EB/OL].(2021-06-05) [2021-08-01]. http://arxiv.org/abs/2106.07551. [24] ZINKEVICH M, JOHANSON M, BOWLING M, et al. Regret minimization in games with incomplete...
另一方面,不论是预测其他车辆、行人(我们统称为agent)在车流、人群中的运动,还是根据路面情况为自动驾驶车辆自身作出驾驶决策,都需要参考其他agent的行为和互动关系,其中不但包括agent和自动驾驶车辆自身的互动,也包括agent和agent、甚至更复杂的三者以上的协同互动(比如,自动驾驶车辆在窄路上遇到调头的车辆,还需要考虑它...
The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework Join our Community:https://discord.gg/jM3Z6M9uMq machine-learningaiartificial-intelligenceprompt-toolkitswarmsattention-mechanismagentsmultimodalmulti-modalitymulti-modal-imaginghuggingfacetransformer-modelsgpt4prompt-engineeringpromptingchatgptla...
Transformer之父推出首个全自主科学发现引擎-AI Scientist 1. The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery通用人工智能挑战之一是发展能够进行科学研究并发现新知识的智能体。尽管前沿模型已经在辅助人类科学家，例如用于头脑风暴、编写代码或预测任务，但它们仍然只执行科学过程的小部分。本文...
1 - Directory based Each subset of data (E.g: train and test) should be in its own directory. The path to the directory can then be given directly to either train_model() or eval_model(). Each data sample should have a text portion and an image associated with it (and a label/la...
<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably. - TransformerOptimus/SuperAGI