NeurosciencebioRxivPreprint
Optimal Reinforcement Learning with Asymmetric Updating in Volatile Environments: a Simulation Study
Mojtaba Rostami Kandroodi, Abdol‐Hossein Vahabie, Sara Ahmadi…·Majid Nili Ahmadabadi
This study compares two reinforcement learning models in volatile environments, finding that separate reward and punishment learning rates improve performance, with higher reward learning rates being more beneficial.