Periodic Reporting for period 2 - INFORL (Characterizing information integration in reinforcement learning: a neuro-computational investigation)

Reinforcement learning (RL) characterizes how we adaptively learn, by trial and errors, to select actions that maximize the occurrence of rewards, and minimize the occurrence of punishments. The behavioural, computational and neurobiological features of reinforcement-learning...