... Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 25 01 2024 29 08 2024 02 09 2024 23 09 2024 Graphical Abstract Figure design heuristics decision-making reinforcement learning systems engineering...

... resources cooperatively to reach the system-level goal, while performing the tasks assigned to them autonomously. This paper takes a step toward addressing these challenges by proposing a dynamic two-tier learning framework, based on deep reinforcement learning that enables dynamic resource allocation while...

... of formal methods for efficient transfer of knowledge across different yet interrelated tasks, with special reference to collaborative robotic operations such as material handling, machine tending, assembly, and inspection. We propose a meta reinforcement learning framework to enhance the adaptability...

... principles and solved using reinforcement learning, the proposed approach is applied toward shared DERs within multi-building residential clusters. We demonstrate its feasibility across three unique building clusters, observing notable energy cost reductions over baseline values. This highlights a capability...