Value Learning

PIs: Lilian Cabrera and Ziyong Lin

Reinforcement learning enables agents to make optimal decisions (maximize gains, minimize losses). We are investigating how learning scenes associated with high or low probability gains or losses to understand how outcome valence and motivational salience influence learning. We are also exploring how the outcome valence and motivational salience in turn influence what we explicitly remember about the scenes. The effects of monetary incentives were also examined.

Additional Readings:

O’Brien, J. L., & Raymond, J. E. (2012). Learned predictiveness speeds visual processing. Psychological Science, 23(4), 359-363.

Raymond, J. E., & O’Brien, J. L. (2009). Selective visual attention and motivation: The consequences of value learning in an attentional blink task. Psychological Science, 20(8), 981-988.