Abstract
2024 OCT 08 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Researchers detail new data in Robotics. Accordin g to news originating from Beijing, People's Republic of China, by NewsRx corres pondents, research stated, "Agent-agnostic reinforcement learning aims to learn a universal control policy that can simultaneously control a set of robots with different morphologies. Recent studies have suggested that using the transformer model can address variations in state and action spaces caused by different mor phologies, and morphology information is necessary to improve policy performance ."
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