Lifelong Multi-Agent Path Finding in Large-Scale Warehouses.Jiaoyang LiAndrew TinkaScott KieselJoseph W. DurhamT. K. Satish KumarSven KoenigNational Conference on Artificial Intelligence
Rolling-Horizon Collision Resolution (RHCR) is an efficient algorithm for solving lifelong Multi-Agent Path Finding (MAPF) where we are aksed to plan collision-free paths for a large number of agents that are constanly engaged with new goal locations. RHCR calls a Windowed MAPF solver every ...
In the discounted cash flow analysis, we used thefree cash flowto compute the valuation of the company. The question to ask is,“what if the free cash flow is negative for a company?”Say for example, a company is either in its early stages (or) it is finding lots of opportunities to...
Multitask Learning Rich Caruana Machine Learning Jan 1997 Multitask Learning is an approach to inductive transfer that improves generalization by using the domain information contained in the training signals of related tasks as an inductive bias. It does this by learning tasks in parallel while using...
Rolling-Horizon Collision Resolution (RHCR) is an efficient algorithm for solving lifelong Multi-Agent Path Finding (MAPF) where we are aksed to plan collision-free paths for a large number of agents that are constanly engaged with new goal locations. RHCR calls a Windowed MAPF solver every ...
A well-studied abstract model for navigating agents in a distributed environment without collisions is known as Multi-Agent Path Finding (MAPF). MAPF has two interrelated aspects: one is to find the paths for the agents without collisions, and the other is to optimize the conflict resolutions ...
Besides deep learning, reinforcement learning (RL) is another popular area of machine learning concerned with how an intelligent agent should take action in an environment to maximize the cumulative reward. Reinforcement learning aims to learn the best action for each state in an environment. Differen...