In this paper we focus on a setting where multiple agents with complementary capabilities cooperate in order to generate non-conflicting plans that achieve ...

Jan 5, 2022 · We present a Lightweight Coordination Multi-agent Planning (LCMAP), a domain-independent model that balances the coordination process and privacy through three ...

We apply this framework to the task of multiagent plan- ning in dynamic systems, showing how a joint value function of the associated Markov Decision Process ...

This tutorial will teach you how to setup the Enhanced Conflict-Based Search with Optimal Task Assignment (ECBS-TA) planning algorithm on a set of MuSHR cars.

Coordination of actions and plans that must be achieved by multiple agents is one of the most difficult tasks in the multi-agent domain.

Mar 7, 2017 · Epistemic planning can be used for decision making in multi-agent situations with distributed knowledge and capabilities.

Self-organized systems need sophisticated coordination mechanisms. This paper proposes a model based on multi-agent planning to coordinate such systems.

May 9, 2020 · We introduce a novel a hierarchical planning algorithm for multi- agent coordination based on probabilistic inference over sub-tasks. At a high- ...

Multi-agent planning is a fundamental problem in multi- agent systems that has acquired a variety of meanings in the relative literature.