Parvin Malekzadeh

Orcid: 0000-0003-2533-232X

According to our database1, Parvin Malekzadeh authored at least 19 papers between 2019 and 2024.

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Bibliography

2024
Active Inference and Reinforcement Learning: A Unified Inference on Continuous State and Action Spaces Under Partial Observability.
Neural Comput., 2024

A Robust Quantile Huber Loss with Interpretable Parameter Adjustment in Distributional Reinforcement Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024

EX-DRL: Hedging Against Heavy Losses with EXtreme Distributional Reinforcement Learning.
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☆.
Neurocomputing, April, 2023

A Unified Uncertainty-Aware Exploration: Combining Epistemic and Aleatory Uncertainty.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Multi-Agent Reinforcement Learning via Adaptive Kalman Temporal Difference and Successor Representation.
Sensors, 2022

AKF-SR: Adaptive Kalman filtering-based successor representation.
Neurocomputing, 2022

Combining information-seeking exploration and reward maximization: Unified inference on continuous state and action spaces under partial observability.
CoRR, 2022

2021
Makf-Sr: Multi-Agent Adaptive Kalman Filtering-Based Successor Representations.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
MM-KTD: Multiple Model Kalman Temporal Differences for Reinforcement Learning.
IEEE Access, 2020

Non-Gaussian BLE-Based Indoor Localization Via Gaussian Sum Filtering Coupled with Wasserstein Distance.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

IoT-TD: IoT Dataset for Multiple Model BLE-based Indoor Localization/Tracking.
Proceedings of the 28th European Signal Processing Conference, 2020

Orientation-Matched Multiple Modeling for RSSI-based Indoor Localization via BLE Sensors.
Proceedings of the 28th European Signal Processing Conference, 2020

Distributed Hybrid Kalman Temporal Differences for Reinforcement Learning.
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.
IEEE Signal Process. Lett., 2019

Event-Triggered Monitoring/Communication of Inertial Measurement Unit for IoT Applications.
Proceedings of the 2019 IEEE SENSORS, Montreal, QC, Canada, October 27-30, 2019, 2019

Gaussian Mixture-based Indoor Localization via Bluetooth Low Energy Sensors.
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.
Proceedings of the IEEE International Conference on Acoustics, 2019

Multiple Model BLE-based Tracking via Validation of RSSI Fluctuations under Different Conditions.
Proceedings of the 22th International Conference on Information Fusion, 2019


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