Paper 1 🔗An Efficient Hardware Implementation of Reinforcement Learning: The Q-Learning Algorithm, IEEE Access https://ieeexplore.ieee.org/document/8937555 S. Spanò et al., “An Efficient Hardware Implementation of Reinforcement Learning: The Q-Learning Algorithm,” in IEEE Access, vol. 7, pp. 186340-186351, 2019, doi: 10.1109/ACCESS.2019.2961174. Abstract 🔗In this paper we propose an efficient hardware architecture that implements the Q-Learning algorithm, suitable for real-time applications. Its main features are low-power, high throughput and limited hardware resources. We also propose a technique based on approximated multipliers to reduce the hardware complexity of the algorithm.

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