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07/13/2023
TinyMetaFed: Efficient Federated Meta-Learning for TinyML
The field of Tiny Machine Learning (TinyML) has made substantial advance...
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04/11/2023
TinyReptile: TinyML with Federated Meta-Learning
Tiny machine learning (TinyML) is a rapidly growing field aiming to demo...
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07/18/2022
SeLoC-ML: Semantic Low-Code Engineering for Machine Learning Applications in Industrial IoT
Internet of Things (IoT) is transforming the industry by bridging the ga...
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07/20/2020
Interpretable Control by Reinforcement Learning
In this paper, three recently introduced reinforcement learning (RL) met...
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05/29/2020
Modeling System Dynamics with Physics-Informed Neural Networks Based on Lagrangian Mechanics
Identifying accurate dynamic models is required for the simulation and c...
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04/29/2018
Generating Interpretable Fuzzy Controllers using Particle Swarm Optimization and Genetic Programming
Autonomously training interpretable control strategies, called policies,...
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12/12/2017
Interpretable Policies for Reinforcement Learning by Genetic Programming
The search for interpretable reinforcement learning policies is of high ...
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09/27/2017
A Benchmark Environment Motivated by Industrial Control Problems
In the research area of reinforcement learning (RL), frequently novel an...
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05/20/2017
