QTAccel: A Generic FPGA based Design for Q-Table based Reinforcement Learning Accelerators

摘要

Q-Table based Reinforcement Learning (QRL) is a class of widely used algorithms in AI that work by successively improving the estimates of Q-values – quality of state-action pairs, stored in a table. They significantly outperform Neural Network based tech