This paper proposes a FAst paRAllel and pipeliNE Q-learning accelerator (FARANE-Q) for configurable Reinforcement Learning (RL) algorithm implemented in System on Chip (SoC). The proposed work offers flexibility, configurability, scalability while maintaining computation speed accuracy to overcome the challenges of dynamic environment increasing complexity. method includes Hardware/Software (HW...

the first spoken dialogue system developed for the persian language is introduced. this is a ticket reservation system with persian asr and nlu modules. the focus of the paper is on learning the dialogue management module. in this work, real on-line training data are used during the learning process. for on-line learning, the effect of the variations of discount factor (g) on the learning speed...

Abstract Recently, there has been significant progress in understanding reinforcement learning in Markov decision processes (MDP). We focus on improving Q-learning and analyze its sample complexity. We investigate the performance of tabular Q-learning, Approximate Q-learning and UCB-based Q-learning. We also derive a lower PAC bound Ω( |S| |A| 2 ln |A| δ ) of UCB-based Q-learning. Two tasks, Ca...