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Found 4 papers, 1 papers with code
Residual Q-Networks for Value Function Factorizing in Multi-Agent Reinforcement Learning
The performance of the proposed method is compared against several state-of-the-art techniques such as QPLEX, QMIX, QTRAN and VDN, in a range of multi-agent cooperative tasks.
Multi-agent Reinforcement Learning
reinforcement-learning
+1
Scalar Product Lattice Computation for Efficient Privacy-preserving Systems
Privacy-preserving applications allow users to perform on-line daily actions without leaking sensitive information.
Cryptography and Security
Adaptive Feature Processing for Robust Human Activity Recognition on a Novel Multi-Modal Dataset
In this paper, we present a novel, multi-modal sensor dataset that encompasses nine indoor activities, performed by 16 participants, and captured by four types of sensors that are commonly used in indoor applications and autonomous vehicles.
Ranked #1 on
Multimodal Activity Recognition
on LboroHAR
Robust Fusion of LiDAR and Wide-Angle Camera Data for Autonomous Mobile Robots
A combination of several different sensors such as LiDAR, radar, ultrasound sensors and cameras are utilized to sense the surrounding environment of autonomous vehicles.
