A Systematic Review of Adversarial Machine Learning and Deep Learning Applications
TA Abdalkareem, KA Zidan… - Al-Iraqia Journal for …, 2024 - ijser.aliraqia.edu.iq
The review delves into creating an understandable framework for machine learning in
robotics. It stresses the significance of machine learning in materials science and robotics …
robotics. It stresses the significance of machine learning in materials science and robotics …
Novel RL-based Single-Agent and Multi-Agent Architectures and Training Adaptations for Near-Real-time Self-Optimization of Electrical Tilts
V Pandit, K Beyer, S Funck, C Brock, J Kuehne… - Authorea …, 2024 - techrxiv.org
Remote electrical tilt (RET) optimization is a critical aspect of wireless communication
networks to achieve efficient coverage and capacity. This paper presents a comprehensive …
networks to achieve efficient coverage and capacity. This paper presents a comprehensive …
Modeling hippocampal replay in spatial navigation with the theory of reinforcement learning: a neuroscientific and robotic approach
E Massi - 2023 - theses.hal.science
The experience gained by interacting with the surrounding world is the main mean by which
animals and humans learn. The mammalian brain can re-elaborate past experiences and …
animals and humans learn. The mammalian brain can re-elaborate past experiences and …