TY - JOUR
T1 - Reinforcement learning
T2 - The Good, The Bad and The Ugly
AU - Dayan, Peter
AU - Niv, Yael
PY - 2008/4
Y1 - 2008/4
N2 - Reinforcement learning provides both qualitative and quantitative frameworks for understanding and modeling adaptive decision-making in the face of rewards and punishments. Here we review the latest dispatches from the forefront of this field, and map out some of the territories where lie monsters.
AB - Reinforcement learning provides both qualitative and quantitative frameworks for understanding and modeling adaptive decision-making in the face of rewards and punishments. Here we review the latest dispatches from the forefront of this field, and map out some of the territories where lie monsters.
UR - http://www.scopus.com/inward/record.url?scp=52049107354&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=52049107354&partnerID=8YFLogxK
U2 - 10.1016/j.conb.2008.08.003
DO - 10.1016/j.conb.2008.08.003
M3 - Review article
C2 - 18708140
AN - SCOPUS:52049107354
VL - 18
SP - 185
EP - 196
JO - Current Opinion in Neurobiology
JF - Current Opinion in Neurobiology
SN - 0959-4388
IS - 2
ER -