Pawel Ladosz

Orcid: 0000-0002-1154-8333

According to our database1, Pawel Ladosz authored at least 20 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Autonomous Landing on a Moving Platform Using Vision-Based Deep Reinforcement Learning.
IEEE Robotics Autom. Lett., May, 2024

2023
Receding Horizon-Based Infotaxis With Random Sampling for Source Search and Estimation in Complex Environments.
IEEE Trans. Aerosp. Electron. Syst., February, 2023

The configurable tree graph (CT-graph): measurable problems in partially observable and distal reward environments for lifelong reinforcement learning.
CoRR, 2023

2022
Deep Reinforcement Learning With Modulated Hebbian Plus Q-Network Architecture.
IEEE Trans. Neural Networks Learn. Syst., 2022

Source Term Estimation Using Deep Reinforcement Learning With Gaussian Mixture Model Feature Extraction for Mobile Sensors.
IEEE Robotics Autom. Lett., 2022

Exploration in deep reinforcement learning: A survey.
Inf. Fusion, 2022

Monocular vision-based time-to-collision estimation for small drones by domain adaptation of simulated images.
Expert Syst. Appl., 2022

2020
Gaussian Process Based Channel Prediction for Communication-Relay UAV in Urban Environments.
IEEE Trans. Aerosp. Electron. Syst., 2020

Optimal communication relay positioning in mobile multi-node networks.
Robotics Auton. Syst., 2020

Detecting Changes and Avoiding Catastrophic Forgetting in Dynamic Partially Observable Environments.
Frontiers Neurorobotics, 2020

Evolving inborn knowledge for fast adaptation in dynamic POMDP problems.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
Experimental Validation of Gaussian Process-Based Air-to-Ground Communication Quality Prediction in Urban Environments.
Sensors, 2019

A Hybrid Approach of Learning and Model-Based Channel Prediction for Communication Relay UAVs in Dynamic Urban Environments.
IEEE Robotics Autom. Lett., 2019

Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture.
CoRR, 2019

Experimental Assessment of Plume Mapping using Point Measurements from Unmanned Vehicles.
Proceedings of the International Conference on Robotics and Automation, 2019

Spatio-Temporal Attention Deep Recurrent Q-Network for POMDPs.
Proceedings of the Progress in Artificial Intelligence, 2019

2018
Trajectory Planning for Communication Relay Unmanned Aerial Vehicles in Urban Dynamic Environments.
J. Intell. Robotic Syst., 2018

A Genetic Algorithm Optimiser For Dynamic Product Routing In Agile Manufacturing Environment.
Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018

2017
Prediction of air-to-ground communication strength for relay UAV trajectory planner in urban environments.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2016
Communication-aware convoy following guidance for UAVs in a complex urban environment.
Proceedings of the 24th Mediterranean Conference on Control and Automation, 2016


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