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ORCIDParvin Malekzadeh
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2020 – today
- 2024
[j6]Parvin Malekzadeh, Konstantinos N. Plataniotis:
Active Inference and Reinforcement Learning: A Unified Inference on Continuous State and Action Spaces Under Partial Observability. Neural Comput. 36(10): 2073-2135 (2024)- [c12]Parvin Malekzadeh
, Zissis Poulos, Jacky Chen, Zeyu Wang, Konstantinos N. Plataniotis:
EX-DRL: Hedging Against Heavy Losses with EXtreme Distributional Reinforcement Learning. ICAIF 2024: 370-378 - [c11]Parvin Malekzadeh, Konstantinos N. Plataniotis, Zissis Poulos, Zeyu Wang:
A Robust Quantile Huber Loss with Interpretable Parameter Adjustment in Distributional Reinforcement Learning. ICASSP 2024: 6120-6124 - [i8]Parvin Malekzadeh, Konstantinos N. Plataniotis, Zissis Poulos, Zeyu Wang:
A Robust Quantile Huber Loss With Interpretable Parameter Adjustment In Distributional Reinforcement Learning. CoRR abs/2401.02325 (2024) - [i7]Parvin Malekzadeh, Ming Hou, Konstantinos N. Plataniotis:
A unified uncertainty-aware exploration: Combining epistemic and aleatory uncertainty. CoRR abs/2401.02914 (2024) - [i6]Parvin Malekzadeh, Zissis Poulos, Jacky Chen, Zeyu Wang, Konstantinos N. Plataniotis:
EX-DRL: Hedging Against Heavy Losses with EXtreme Distributional Reinforcement Learning. CoRR abs/2408.12446 (2024) - 2023
- [j5]Parvin Malekzadeh, Ming Hou, Konstantinos N. Plataniotis:
Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning☆. Neurocomputing 530: 165-187 (2023) - [c10]Parvin Malekzadeh, Ming Hou, Konstantinos N. Plataniotis:
A Unified Uncertainty-Aware Exploration: Combining Epistemic and Aleatory Uncertainty. ICASSP 2023: 1-5 - [i5]Parvin Malekzadeh, Ming Hou, Konstantinos N. Plataniotis:
Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning. CoRR abs/2310.10818 (2023) - 2022
- [j4]Parvin Malekzadeh, Mohammad Salimibeni, Ming Hou, Arash Mohammadi, Konstantinos N. Plataniotis:
AKF-SR: Adaptive Kalman filtering-based successor representation. Neurocomputing 467: 476-490 (2022) - [j3]Mohammad Salimibeni, Arash Mohammadi, Parvin Malekzadeh, Konstantinos N. Plataniotis:
Multi-Agent Reinforcement Learning via Adaptive Kalman Temporal Difference and Successor Representation. Sensors 22(4): 1393 (2022) - [i4]Parvin Malekzadeh, Mohammad Salimibeni, Ming Hou, Arash Mohammadi, Konstantinos N. Plataniotis:
AKF-SR: Adaptive Kalman Filtering-based Successor Representation. CoRR abs/2204.00049 (2022) - [i3]Parvin Malekzadeh, Konstantinos N. Plataniotis:
Combining information-seeking exploration and reward maximization: Unified inference on continuous state and action spaces under partial observability. CoRR abs/2212.07946 (2022) - 2021
- [c9]Mohammad Salimibeni, Parvin Malekzadeh, Arash Mohammadi, Petros Spachos, Konstantinos N. Plataniotis:
Makf-Sr: Multi-Agent Adaptive Kalman Filtering-Based Successor Representations. ICASSP 2021: 8037-8041 - [i2]Mohammad Salimibeni, Arash Mohammadi, Parvin Malekzadeh, Konstantinos N. Plataniotis:
Multi-Agent Reinforcement Learning via Adaptive Kalman Temporal Difference and Successor Representation. CoRR abs/2112.15156 (2021) - 2020
- [j2]Parvin Malekzadeh, Mohammad Salimibeni, Arash Mohammadi, Akbar Assa, Konstantinos N. Plataniotis:
MM-KTD: Multiple Model Kalman Temporal Differences for Reinforcement Learning. IEEE Access 8: 128716-128729 (2020) - [c8]Mohammad Salimibeni, Parvin Malekzadeh, Arash Mohammadi, Konstantinos N. Plataniotis:
Distributed Hybrid Kalman Temporal Differences for Reinforcement Learning. ACSSC 2020: 579-583 - [c7]Mohammad Salimibeni, Zohreh Hajiakhondi-Meybodi, Parvin Malekzadeh, Mohammadamin Atashi, Konstantinos N. Plataniotis, Arash Mohammadi:
IoT-TD: IoT Dataset for Multiple Model BLE-based Indoor Localization/Tracking. EUSIPCO 2020: 1697-1701 - [c6]Mohammadamin Atashi, Parvin Malekzadeh, Mohammad Salimibeni, Zohreh Hajiakhondi-Meybodi, Konstantinos N. Plataniotis, Arash Mohammadi:
Orientation-Matched Multiple Modeling for RSSI-based Indoor Localization via BLE Sensors. EUSIPCO 2020: 1702-1706 - [c5]Parvin Malekzadeh, Shervin Mehryar, Petros Spachos, Konstantinos N. Plataniotis, Arash Mohammadi:
Non-Gaussian BLE-Based Indoor Localization Via Gaussian Sum Filtering Coupled with Wasserstein Distance. ICASSP 2020: 9046-9050 - [i1]Parvin Malekzadeh, Mohammad Salimibeni, Arash Mohammadi, Akbar Assa, Konstantinos N. Plataniotis:
MM-KTD: Multiple Model Kalman Temporal Differences for Reinforcement Learning. CoRR abs/2006.00195 (2020)
2010 – 2019
- 2019
- [j1]Parvin Malekzadeh, Arash Mohammadi, Mihai Barbulescu, Konstantinos N. Plataniotis:
STUPEFY: Set-Valued Box Particle Filtering for Bluetooth Low Energy-Based Indoor Localization. IEEE Signal Process. Lett. 26(12): 1773-1777 (2019) - [c4]Mohammadamin Atashi, Mohammad Salimibeni, Parvin Malekzadeh, Mihai Barbulescu, Konstantinos N. Plataniotis, Arash Mohammadi:
Multiple Model BLE-based Tracking via Validation of RSSI Fluctuations under Different Conditions. FUSION 2019: 1-6 - [c3]Shervin Mehryar, Parvin Malekzadeh, Santiago Mazuelas, Petros Spachos, Konstantinos N. Plataniotis, Arash Mohammadi:
Belief Condensation Filtering for RSSI-Based State Estimation in Indoor Localization. ICASSP 2019: 8385-8389 - [c2]Parvin Malekzadeh, Mohammad Salimibeni, Mohammadamin Atashi, Mihai Barbulescu, Konstantinos N. Plataniotis, Arash Mohammadi:
Gaussian Mixture-based Indoor Localization via Bluetooth Low Energy Sensors. IEEE SENSORS 2019: 1-4 - [c1]Mohammad Salimibeni, Parvin Malekzadeh, Mohammadamin Atashi, Mihai Barbulescu, Konstantinos N. Plataniotis, Arash Mohammadi:
Event-Triggered Monitoring/Communication of Inertial Measurement Unit for IoT Applications. IEEE SENSORS 2019: 1-4
Coauthor Index
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