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Proceedings of the National Academy of Sciences of the United States of America, ISSN 0027-8424, 12/2012, Volume 109, Issue 50, pp. 20709 - 20713
Relief of pain is rewarding. Using a model of experimental postsurgical pain we show that blockade of afferent input from the injury with local anesthetic... 
Dopaminergic neurons | Nucleus accumbens | Pain | Catheterization | Neurons | Rats | Midbrain | Physical trauma | Behavioral neuroscience | Ventral tegmental area | Immunohistochemistry | Incision | In vivo microdialysis | Motivated behavior | motivated behavior | RAT | MORPHINE | CONDITIONED PLACE PREFERENCE | A10 DOPAMINE NEURONS | NOXIOUS STIMULI | FOS EXPRESSION | MULTIDISCIPLINARY SCIENCES | NUCLEUS-ACCUMBENS | ONGOING PAIN | ventral tegmental area | incision | immunohistochemistry | in vivo microdialysis | MODULATION | Pain, Postoperative - drug therapy | Nerve Block | Afferent Pathways - physiopathology | Male | Dopamine Antagonists - administration & dosage | Pain - drug therapy | Limbic System - physiopathology | Afferent Pathways - drug effects | Anesthetics, Local - administration & dosage | Disease Models, Animal | Limbic System - drug effects | Nucleus Accumbens - physiopathology | Ventral Tegmental Area - drug effects | Pain, Postoperative - psychology | Ventral Tegmental Area - physiopathology | Reinforcement (Psychology) | Rats, Sprague-Dawley | Pain - psychology | Animals | Pain - physiopathology | Models, Neurological | Reward | Nucleus Accumbens - drug effects | Pain, Postoperative - physiopathology | Psychological aspects | Care and treatment | Neural circuitry | Physiological aspects | Limbic system | Health aspects | Brain | Postoperative period | Dopamine | Surgery | Pain management | Index Medicus | Biological Sciences
Journal Article
Journal of Artificial Intelligence Research, ISSN 1076-9757, 07/1999, Volume 11, pp. 241 - 276
There are two distinct approaches to solving reinforcement learning problems, namely, searching in value function space and searching in policy space. Temporal... 
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Journal Article
PLoS ONE, ISSN 1932-6203, 07/2009, Volume 4, Issue 7, pp. e6421 - e6421
This paper questions the need for reinforcement learning or control theory when optimising behaviour. We show that it is fairly simple to teach an agent... 
BIOLOGY | Learning | Models, Theoretical | Humans | Brain | Adaptive structures | Neurosciences | Medical imaging | Energy use | Dopamine | Adaptive sampling | Noise | Inference | Probability distribution | Equilibrium | Free energy | Energy | Neural networks | Energy conservation | Reinforcement | Perception | Control theory | Dynamic programming | Artificial intelligence | Active control | Adaptation | Index Medicus
Journal Article
Journal Article
Autonomous Robots, ISSN 0929-5593, 07/2009, Volume 27, Issue 1, pp. 55 - 73
Batch reinforcement learning methods provide a powerful framework for learning efficiently and effectively in autonomous robots. The paper reviews some recent... 
Neural control | Autonomous learning robots | Batch reinforcement learning | RoboCup | Learning mobile robots | ROBOTICS | INFORMATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Computer science | Robotics industry | Robots | Studies | Learning | Competition | Approximation | Soccer | Reinforcement | Multilayer perceptrons | Autonomous
Journal Article