About 🔧 High-performance Python rate limiting library with multiple algorithms (Fixed Window, Sliding Window, Token Bucket, Leaky Bucket & GCRA) and storage backends (Redis, In-Memory).

In this study, we propose and develop a Machine Learning-based metasolver for the Multi-Agent Path Finding (MAPF) problem, with the aim of selecting the most suitable solver based on the specific ...

Multi-agent reinforcement learning (MARL) can be used to design intelligent agents for solving cooperative tasks. Within the MARL category, this paper proposes the probability of maximal reward based ...

Simple Reflex Agent: Acts based solely on the current state of the environment without memory. Utility-Based Agent: Selects actions based on a utility function to balance cleaning and exploration.

This paper proposes a distributed multi round auction algorithm FMMRA that maximizes task cost-effectiveness, in response to the current application of auction algorithms to solve multi-agent task ...