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Found 12 papers, 8 papers with code
Motion Consistency Loss for Monocular Visual Odometry with Attention-Based Deep Learning
Deep learning algorithms have driven expressive progress in many complex tasks.
Real-Time Surface-to-Air Missile Engagement Zone Prediction Using Simulation and Machine Learning
Surface-to-Air Missiles (SAMs) are crucial in modern air defense systems.
Transformer-based model for monocular visual odometry: a video understanding approach
In this work, we deal with the monocular visual odometry as a video understanding task to estimate the 6-DoF camera's pose.
Autonomous Agent for Beyond Visual Range Air Combat: A Deep Reinforcement Learning Approach
This work contributes to developing an agent based on deep reinforcement learning capable of acting in a beyond visual range (BVR) air combat simulation environment.
Dense Prediction Transformer for Scale Estimation in Monocular Visual Odometry
Monocular visual odometry consists of the estimation of the position of an agent through images of a single camera, and it is applied in autonomous vehicles, medical robots, and augmented reality.
Supervised Machine Learning for Effective Missile Launch Based on Beyond Visual Range Air Combat Simulations
This work compares supervised machine learning methods using reliable data from constructive simulations to estimate the most effective moment for launching missiles during air combat.
A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems
With the widespread adoption of deep learning, reinforcement learning (RL) has experienced a dramatic increase in popularity, scaling to previously intractable problems, such as playing complex games from pixel observations, sustaining conversations with humans, and controlling robotic agents.
Enhanced Self-Organizing Map Solution for the Traveling Salesman Problem
Besides, we employed hyperparameter tuning to identify the most critical features in the algorithm.
Weapon Engagement Zone Maximum Launch Range Estimation Using a Deep Neural Network
This work investigates the use of a Deep Neural Network (DNN) to perform an estimation of the Weapon Engagement Zone (WEZ) maximum launch range.
Engagement Decision Support for Beyond Visual Range Air Combat
This work aims to provide an engagement decision support tool for Beyond Visual Range (BVR) air combat in the context of Defensive Counter Air (DCA) missions.
Learning Humanoid Robot Running Skills through Proximal Policy Optimization
In the current level of evolution of Soccer 3D, motion control is a key factor in team's performance.
Bottom-Up Meta-Policy Search
Despite of the recent progress in agents that learn through interaction, there are several challenges in terms of sample efficiency and generalization across unseen behaviors during training.
