2 papers
quant-ph2025
Quantum reinforcement learning in dynamic environments
Oliver Sefrin, Manuel Radons, Lars Simon +1
Combining quantum computing techniques in the form of amplitude amplification with classical reinforcement learning has led to the so-called "hybrid agent for quantum-accessible re…
quant-ph2024
A hybrid learning agent for episodic learning tasks with unknown target distance
Oliver Sefrin, Sabine Wölk
The "hybrid agent for quantum-accessible reinforcement learning", as defined in (Hamann and Wölk, 2022), provides a proven quasi-quadratic speedup and is experimentally tested. Ho…