This paper proposes a Swarm Intelligence Guided Neural Reinforcement Learning (SIGNRL) algorithm, which uses Particle Swarm Optimization as a multi-agent ...
The reinforcement learning agent optimizes the pulse sequence, each followed by a projective measurement, and probabilistically manipulates the collapse of the ...
Based on episodic learn- ing, the proposed methodology is efficient for continuous control tasks in environments with continuous states and action domains.
SIGNRL: A Population-Based Reinforcement Learning Method for Continuous Control. Conference Paper. Dec 2023. Daniel F. Zambrano ...
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SIGNRL: A Population-Based Reinforcement Learning Method for Continuous Control · Daniel F. Zambrano-GutierrezAlberto C. Molina-Porras +4 authors J. M. Cruz ...
Feb 1, 2023 · We present a population-based RL method for CO problems: the training procedure makes the agents complementary to maximize the population's performance.
Missing: SIGNRL: Continuous
SIGNRL: A Population-Based Reinforcement Learning Method for Continuous Control · Daniel F. Zambrano-GutierrezAlberto C. Molina-Porras +4 authors J. M. Cruz ...
Feb 5, 2019 · ABSTRACT. Population Based Training (PBT) is a recent approach that jointly optimizes neural network weights and hyperparameters which.
RL agents have been used to tune PID and directly control temperature of a simulated continuous stirred tank reactor (CSTR) with discrete state and action ...
Duration: 26:03
Posted: Feb 12, 2021
Posted: Feb 12, 2021
Missing: SIGNRL: Population- Continuous