Mar 1, 2023 · In this paper, we demonstrate an algorithmic approach for taking such constraints into account in system modularization. Constraints are ...
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Oct 22, 2024 · Modularization is an approach for system architecting and design simplification by encapsulating complex interactions among components ...
Modularization is an approach for system architecting and design simplification by encapsulating complex interactions among components within modules.
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A modular approach to constraint satisfaction under uncertainty
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The paper proposes a modular-based approach to constraint handling in process optimization and control.
Instead of defining and pre-training the modules or sub-policies, our approach utilizes soft combinations over modules, which allows fully end-to-end training.
Prior research on constrained RL has focused on inducing the op- timal policy subject to constraints such as safety and risk avoidance. Systems that physically ...
In this paper, we combine artificial intelligence with SoS architecting and propose a deep reinforcement learning approach DRL-SoSDP for SoS design.
We also give a feasible solution example to show that dynamical alternation between model learning and policy exploration does benefit performance monotonicity.
Modular reinforcement learning (MRL) decomposes a monolithic multiple-goal problem into modules that solve a portion of the original problem.
We show that BICRL outperforms pre-existing constraint learning approaches, leading to more accurate constraint inference and consequently safer policies. We ...