most citedScalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers

9 citations · 19 across the 7 of their papers we have counts for

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cs.RO2022★ 1 cited

Achieving Goals using Reward Shaping and Curriculum Learning

Mihai Anca, Jonathan D. Thomas, Dabal Pedamonti +2

Real-time control for robotics is a popular research area in the reinforcement learning community. Through the use of techniques such as reward shaping, researchers have managed to…