Motivated Reinforcement Learning
–Neural Information Processing Systems
Competition between actions is based on the motivating characteristics of their consequent states in this sense. Substantial, careful, experiments reviewed in Dickinson & Balleine,12,13 into the neurobiology and psychology ofmotivation shows that this view is incomplete. In many cases, animals are faced with the choice not between many different actionsat a given state, but rather whether a single response isworth executing at all. Evidence suggests that the motivational process underlying this choice has different psychological andneural properties from that underlying action choice. We describe and model these motivational systems, and consider the way they interact.
Neural Information Processing Systems
Dec-31-2002
- Country:
- Europe > United Kingdom
- England > Cambridgeshire > Cambridge (0.14)
- North America > United States
- California > San Francisco County > San Francisco (0.14)
- Europe > United Kingdom
- Industry:
- Health & Medicine > Therapeutic Area > Neurology (0.47)
- Technology: