Parvin Malekzadeh

According to our database, Parvin Malekzadeh authored at least 18 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

A Robust Quantile Huber Loss with Interpretable Parameter Adjustment in Distributional Reinforcement Learning.

Parvin Malekzadeh, Konstantinos N. Plataniotis, Zissis Poulos, Zeyu Wang

Proceedings of the IEEE International Conference on Acoustics, 2024

EX-DRL: Hedging Against Heavy Losses with EXtreme Distributional Reinforcement Learning.

Parvin Malekzadeh, Zissis Poulos, Jacky Chen, Zeyu Wang, Konstantinos N. Plataniotis

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

2023

Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning☆.

Parvin Malekzadeh, Ming Hou, Konstantinos N. Plataniotis

Neurocomputing, April, 2023

A Unified Uncertainty-Aware Exploration: Combining Epistemic and Aleatory Uncertainty.

Parvin Malekzadeh, Ming Hou, Konstantinos N. Plataniotis

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Multi-Agent Reinforcement Learning via Adaptive Kalman Temporal Difference and Successor Representation.

Mohammad Salimibeni, Arash Mohammadi, Parvin Malekzadeh, Konstantinos N. Plataniotis

Sensors, 2022

AKF-SR: Adaptive Kalman filtering-based successor representation.

Parvin Malekzadeh, Mohammad Salimibeni, Ming Hou, Arash Mohammadi, Konstantinos N. Plataniotis

Neurocomputing, 2022

Combining information-seeking exploration and reward maximization: Unified inference on continuous state and action spaces under partial observability.

Parvin Malekzadeh, Konstantinos N. Plataniotis

CoRR, 2022

2021

Makf-Sr: Multi-Agent Adaptive Kalman Filtering-Based Successor Representations.

Mohammad Salimibeni, Parvin Malekzadeh, Arash Mohammadi, Petros Spachos, Konstantinos N. Plataniotis

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

MM-KTD: Multiple Model Kalman Temporal Differences for Reinforcement Learning.

Parvin Malekzadeh, Mohammad Salimibeni, Arash Mohammadi, Akbar Assa, Konstantinos N. Plataniotis

IEEE Access, 2020

Non-Gaussian BLE-Based Indoor Localization Via Gaussian Sum Filtering Coupled with Wasserstein Distance.

Parvin Malekzadeh, Shervin Mehryar, Petros Spachos, Konstantinos N. Plataniotis, Arash Mohammadi

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

IoT-TD: IoT Dataset for Multiple Model BLE-based Indoor Localization/Tracking.

Mohammad Salimibeni, Zohreh Hajiakhondi-Meybodi, Parvin Malekzadeh, Mohammadamin Atashi, Konstantinos N. Plataniotis, Arash Mohammadi

Proceedings of the 28th European Signal Processing Conference, 2020

Orientation-Matched Multiple Modeling for RSSI-based Indoor Localization via BLE Sensors.

Mohammadamin Atashi, Parvin Malekzadeh, Mohammad Salimibeni, Zohreh Hajiakhondi-Meybodi, Konstantinos N. Plataniotis, Arash Mohammadi

Proceedings of the 28th European Signal Processing Conference, 2020

Distributed Hybrid Kalman Temporal Differences for Reinforcement Learning.

Mohammad Salimibeni, Parvin Malekzadeh, Arash Mohammadi, Konstantinos N. Plataniotis

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019

STUPEFY: Set-Valued Box Particle Filtering for Bluetooth Low Energy-Based Indoor Localization.

Parvin Malekzadeh, Arash Mohammadi, Mihai Barbulescu, Konstantinos N. Plataniotis

IEEE Signal Process. Lett., 2019

Event-Triggered Monitoring/Communication of Inertial Measurement Unit for IoT Applications.

Mohammad Salimibeni, Parvin Malekzadeh, Mohammadamin Atashi, Mihai Barbulescu, Konstantinos N. Plataniotis, Arash Mohammadi

Proceedings of the 2019 IEEE SENSORS, Montreal, QC, Canada, October 27-30, 2019, 2019

Gaussian Mixture-based Indoor Localization via Bluetooth Low Energy Sensors.

Parvin Malekzadeh, Mohammad Salimibeni, Mohammadamin Atashi, Mihai Barbulescu, Konstantinos N. Plataniotis, Arash Mohammadi

Proceedings of the 2019 IEEE SENSORS, Montreal, QC, Canada, October 27-30, 2019, 2019

Belief Condensation Filtering for RSSI-Based State Estimation in Indoor Localization.

Shervin Mehryar, Parvin Malekzadeh, Santiago Mazuelas, Petros Spachos, Konstantinos N. Plataniotis, Arash Mohammadi

Proceedings of the IEEE International Conference on Acoustics, 2019

Multiple Model BLE-based Tracking via Validation of RSSI Fluctuations under Different Conditions.

Mohammadamin Atashi, Mohammad Salimibeni, Parvin Malekzadeh, Mihai Barbulescu, Konstantinos N. Plataniotis, Arash Mohammadi

Proceedings of the 22th International Conference on Information Fusion, 2019