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[RAL 2024] Deep Reinforcement Learning-based Large-scale Robot Exploration - - Public code and model
本仓库提供了一个基于PyTorch实现的Transformer模型示例代码,专为初学者设计,用以深入浅出地讲解Transformer架构的工作原理和应用。通过阅读和运行此项目中的代码,学习者可以快速理解自注意力机制、编码器-解码器结构以及如何在实际任务中使用Transformer。同时,项目包含了详细的文档说明和注释,便于跟随每一步进行实践。
Autonomous Exploration of mobile robots in unknown environments using Deep Reinforcement learning
Multi-robot collaborative exploration and mapping through Voronoi partition and DRL in unknown environment
One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)
MAexp is a generic platform for RL-based multi-agent exploration
Recent multi-robot projects and papers: Including SLAM, place recognition, Large Language Models navigation. (continually updated)
The Java version of the sword refers to the solutions of all the questions of the Offer, one question is more than one solution, welcome to discuss
This repo consists of the code for the implemention of decentralised robot graph exploration algorithm in Gazebo+ROS