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Parvin Malekzadeh

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

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Aug 27, 2024
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A Robust Quantile Huber Loss With Interpretable Parameter Adjustment In Distributional Reinforcement Learning

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Jan 07, 2024
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A unified uncertainty-aware exploration: Combining epistemic and aleatory uncertainty

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Jan 05, 2024
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Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning

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Oct 16, 2023
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Combining information-seeking exploration and reward maximization: Unified inference on continuous state and action spaces under partial observability

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Dec 15, 2022
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AKF-SR: Adaptive Kalman Filtering-based Successor Representation

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Mar 31, 2022
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Multi-Agent Reinforcement Learning via Adaptive Kalman Temporal Difference and Successor Representation

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Dec 30, 2021
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MM-KTD: Multiple Model Kalman Temporal Differences for Reinforcement Learning

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May 30, 2020
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