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Found 6 papers, 2 papers with code
Augmented Reality based Simulated Data (ARSim) with multi-view consistency for AV perception networks
The resulting augmented multi-view consistent dataset is used to train a multi-camera perception network for autonomous vehicles.
FRL-FI: Transient Fault Analysis for Federated Reinforcement Learning-Based Navigation Systems
Swarm intelligence is being increasingly deployed in autonomous systems, such as drones and unmanned vehicles.
Multi-Task Federated Reinforcement Learning with Adversaries
Experimentation on different small to mid-size reinforcement learning problems show that the proposed attack method outperforms other general attack methods and the proposed modification to federated reinforcement learning algorithm was able to achieve near-optimal policies in the presence of adversarial agents.
Masked Face Recognition for Secure Authentication
The use of these face masks has raised a serious question on the accuracy of the facial recognition system used for tracking school/office attendance and to unlock phones.
A Decentralized Policy Gradient Approach to Multi-task Reinforcement Learning
We develop a mathematical framework for solving multi-task reinforcement learning (MTRL) problems based on a type of policy gradient method.
Autonomous Navigation via Deep Reinforcement Learning for Resource Constraint Edge Nodes using Transfer Learning
Smart and agile drones are fast becoming ubiquitous at the edge of the cloud.
