most citedRobust Deep Reinforcement Learning Through Adversarial Attacks and Training : A Survey

3 citations

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2 papers

quant-ph2026

Resource-Efficient Synthesis of Sparse Quantum States

Renaud Vilmart, Sunheang Ty, Chetra Mang

Preparing a quantum circuit that implements a given sparse state is an important building block that is necessary for many different quantum algorithms. In the context of fault-tol…

cs.LG2026★ 3 cited

Robust Deep Reinforcement Learning Through Adversarial Attacks and Training : A Survey

Lucas Schott, Josephine Delas, Hatem Hajri +5

Deep Reinforcement Learning (DRL) is a subfield of machine learning for training autonomous agents that take sequential actions across complex environments. Despite its significant…