A Bayesian Reinforcement Learning Method for Periodic Robotic Control Under Significant Uncertainty
Yuanyuan Jia,Pedro Miguel Uriguen Eljuri,Tadahiro Taniguchi,Yuanyuan Jia,Pedro Miguel Uriguen Eljuri,Tadahiro Taniguchi
This paper addresses the lack of research on periodic reinforcement learning for physical robot control by presenting a 3-phase periodic Bayesian reinforcement learning method for uncertain environments. Drawing on cognition theory, the proposed approach achieves effective convergence with fewer training episodes. The coach-based demonstration phase narrows the search space and establishes a found...
