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Pawel Ladosz
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2020 – today
- 2024
- [j12]Pawel Ladosz
, Meraj Mammadov, Heejung Shin
Autonomous Landing on a Moving Platform Using Vision-Based Deep Reinforcement Learning. IEEE Robotics Autom. Lett. 9(5): 4575-4582 (2024) - 2023
- [j11]Minkyu Park
Receding Horizon-Based Infotaxis With Random Sampling for Source Search and Estimation in Complex Environments. IEEE Trans. Aerosp. Electron. Syst. 59(1): 591-609 (2023) - [i4]Andrea Soltoggio, Eseoghene Ben-Iwhiwhu, Christos Peridis, Pawel Ladosz, Jeffery Dick, Praveen K. Pilly, Soheil Kolouri:
The configurable tree graph (CT-graph): measurable problems in partially observable and distal reward environments for lifelong reinforcement learning. CoRR abs/2302.10887 (2023) - 2022
- [j10]Minwoo Kim
Monocular vision-based time-to-collision estimation for small drones by domain adaptation of simulated images. Expert Syst. Appl. 199: 116973 (2022) - [j9]Pawel Ladosz, Lilian Weng, Minwoo Kim
Exploration in deep reinforcement learning: A survey. Inf. Fusion 85: 1-22 (2022) - [j8]Minkyu Park
Source Term Estimation Using Deep Reinforcement Learning With Gaussian Mixture Model Feature Extraction for Mobile Sensors. IEEE Robotics Autom. Lett. 7(3): 8323-8330 (2022) - [j7]Pawel Ladosz
Deep Reinforcement Learning With Modulated Hebbian Plus Q-Network Architecture. IEEE Trans. Neural Networks Learn. Syst. 33(5): 2045-2056 (2022) - [i3]Pawel Ladosz, Lilian Weng, Minwoo Kim, Hyondong Oh:
Exploration in Deep Reinforcement Learning: A Survey. CoRR abs/2205.00824 (2022) - 2020
- [j6]Jeffery Dick, Pawel Ladosz
Detecting Changes and Avoiding Catastrophic Forgetting in Dynamic Partially Observable Environments. Frontiers Neurorobotics 14: 578675 (2020) - [j5]Jongyun Kim
Optimal communication relay positioning in mobile multi-node networks. Robotics Auton. Syst. 129: 103517 (2020) - [j4]Pawel Ladosz
Gaussian Process Based Channel Prediction for Communication-Relay UAV in Urban Environments. IEEE Trans. Aerosp. Electron. Syst. 56(1): 313-325 (2020) - [c6]Eseoghene Ben-Iwhiwhu
Evolving inborn knowledge for fast adaptation in dynamic POMDP problems. GECCO 2020: 280-288 - [i2]Eseoghene Ben-Iwhiwhu, Pawel Ladosz, Jeffery Dick, Wen-Hua Chen, Praveen K. Pilly, Andrea Soltoggio:
Evolving Inborn Knowledge For Fast Adaptation in Dynamic POMDP Problems. CoRR abs/2004.12846 (2020)
2010 – 2019
- 2019
- [j3]Pawel Ladosz
A Hybrid Approach of Learning and Model-Based Channel Prediction for Communication Relay UAVs in Dynamic Urban Environments. IEEE Robotics Autom. Lett. 4(3): 2370-2377 (2019) - [j2]Pawel Ladosz
Experimental Validation of Gaussian Process-Based Air-to-Ground Communication Quality Prediction in Urban Environments. Sensors 19(14): 3221 (2019) - [c5]Mariano Etchart, Pawel Ladosz, David Mulvaney:
Spatio-Temporal Attention Deep Recurrent Q-Network for POMDPs. EPIA (1) 2019: 98-105 - [c4]Michael Hutchinson, Pawel Ladosz
Experimental Assessment of Plume Mapping using Point Measurements from Unmanned Vehicles. ICRA 2019: 7720-7726 - [i1]Pawel Ladosz, Eseoghene Ben-Iwhiwhu, Yang Hu, Nicholas Ketz, Soheil Kolouri, Jeffrey L. Krichmar, Praveen K. Pilly, Andrea Soltoggio:
Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture. CoRR abs/1909.09902 (2019) - 2018
- [j1]Pawel Ladosz
Trajectory Planning for Communication Relay Unmanned Aerial Vehicles in Urban Dynamic Environments. J. Intell. Robotic Syst. 89(1-2): 7-25 (2018) - [c3]Pawel Ladosz, Olatunde Banjo, Samuele De Guido, Mateusz Zalasiewicz:
A Genetic Algorithm Optimiser For Dynamic Product Routing In Agile Manufacturing Environment. INDIN 2018: 1079-1084 - 2017
- [c2]Pawel Ladosz
Prediction of air-to-ground communication strength for relay UAV trajectory planner in urban environments. IROS 2017: 6831-6836 - 2016
- [c1]Hyondong Oh, Hyo-Sang Shin
Communication-aware convoy following guidance for UAVs in a complex urban environment. MED 2016: 1230-1235
Coauthor Index
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last updated on 2024-08-05 20:22 CEST by the dblp team
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