Aug 26, 2021 · Based on this, the penalty method is formulated as a proportional controller, and the Lagrangian method is formulated as an integral controller.
Based on this, the penalty method is formulated as a proportional controller, and the Lagrangian method is formulated as an integral controller. We then unify ...
In this paper, we address these shortcomings by elegantly combining these two methods and propose a separated proportional-integral Lagrangian (SPIL) algorithm.
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This article proposes a separated proportional-integral Lagrangian (SPIL) algorithm that can reduce the oscillations and conservatism of RL policy in a ...
Based on this, the penalty method is formulated as a proportional controller, and the Lagrangian method is formulated as an integral controller. We then unify ...
Feb 17, 2021 · In this paper, we address these shortcomings by proposing a separated proportional-integral Lagrangian (SPIL) algorithm.
[PDF] Separated Proportional-Integral Lagrangian for Chance ...
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1) a separated proportional-integral Lagrangian (SPIL) algorithm is proposed to solve chance constrained RL problems with better performance while satisfying ...
This paper presents a mixed reinforcement learning (mixed RL) algorithm by simultaneously using dual representations of environmental dynamics to search the ...
Existing model-free constrained RL studies mostly take the form of CMDP, which enforces the constraint satisfaction on the expectation of cost function on ...
Sep 13, 2024 · Model-Based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian. IEEE Trans. Neural Networks Learn ...