most citedReducing Label Dependency in Human Activity Recognition with Wearables: From Supervised Learning to Novel Weakly Self-Supervised Approaches

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cs.LG2025★ 4 cited

Reducing Label Dependency in Human Activity Recognition with Wearables: From Supervised Learning to Novel Weakly Self-Supervised Approaches

Taoran Sheng, Manfred Huber

Human activity recognition (HAR) using wearable sensors has advanced through various machine learning paradigms, each with inherent trade-offs between performance and labeling requ…

cs.LG2025

Categorical Policies: Multimodal Policy Learning and Exploration in Continuous Control

SM Mazharul Islam, Manfred Huber

A policy in deep reinforcement learning (RL), either deterministic or stochastic, is commonly parameterized as a Gaussian distribution alone, limiting the learned behavior to be un…