65 citations · 131 across the 21 of their papers we have counts for
5 papers · 1 filter
Multi-Agent Reinforcement Learning for Problems with Combined Individual and Team Reward
Hassam Ullah Sheikh, Ladislau Bölöni
Many cooperative multi-agent problems require agents to learn individual tasks while contributing to the collective success of the group. This is a challenging task for current sta…
Universal Policies to Learn Them All
Hassam Ullah Sheikh, Ladislau Bölöni
We explore a collaborative and cooperative multi-agent reinforcement learning setting where a team of reinforcement learning agents attempt to solve a single cooperative task in a…
Designing a Multi-Objective Reward Function for Creating Teams of Robotic Bodyguards Using Deep Reinforcement Learning
Hassam Ullah Sheikh, Ladislau Bölöni
We are considering a scenario where a team of bodyguard robots provides physical protection to a VIP in a crowded public space. We use deep reinforcement learning to learn the poli…
The Emergence of Complex Bodyguard Behavior Through Multi-Agent Reinforcement Learning
Hassam Ullah Sheikh, Ladislau Bölöni
In this paper we are considering a scenario where a team of robot bodyguards are providing physical protection to a VIP in a crowded public space. We show that the problem involves…
Emergence of Scenario-Appropriate Collaborative Behaviors for Teams of Robotic Bodyguards
Hassam Ullah Sheikh, Ladislau Boloni
We are considering the problem of controlling a team of robotic bodyguards protecting a VIP from physical assault in the presence of neutral and/or adversarial bystanders. This tas…