On the Reliability and Generalizability of Brain-inspired Reinforcement Learning Algorithms

2 code implementations • 9 Jul 2020 • Dongjae Kim, Jee Hang Lee, Jae Hoon Shin, Minsu Abel Yang, Sang Wan Lee

In the reliability test, which includes the latent behavior profile and the parameter recoverability test, we showed that the prefrontal RL reliably learned the latent policies of the humans, while all the other models failed.

reinforcement-learning Reinforcement Learning (RL)