Near-Optimal Adversarial Policy Switching for Decentralized Asynchronous Multi-Agent Systems

no code implementations • 17 Oct 2017 • Trong Nghia Hoang, Yuchen Xiao, Kavinayan Sivakumar, Christopher Amato, Jonathan How

The practicality of existing works addressing this challenge is limited to only small-scale synchronous decision-making scenarios or a single agent planning its best response against a single adversary with fixed, procedurally characterized strategies.

Decision Making

Learning for Multi-robot Cooperation in Partially Observable Stochastic Environments with Macro-actions

no code implementations • 24 Jul 2017 • Miao Liu, Kavinayan Sivakumar, Shayegan Omidshafiei, Christopher Amato, Jonathan P. How

We implement two variants of multi-robot Search and Rescue (SAR) domains (with and without obstacles) on hardware to demonstrate the learned policies can effectively control a team of distributed robots to cooperate in a partially observable stochastic environment.

Decision Making Decision Making Under Uncertainty