5 citations · 10 across the 11 of their papers we have counts for
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cs.MA2019
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…
cs.MA2019★ 3 cited
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…
cs.MA2019
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…