Dyna, an integrated architecture for learning, planning, and reacting
ACM SIGART Bulletin
Unified theories of cognition
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Neural Computation
Multiple paired forward and inverse models for motor control
Neural Networks - Special issue on neural control and robotics: biology and technology
Recurrent sampling models for the Helmholtz machine
Neural Computation
Between MDPs and semi-MDPs: a framework for temporal abstraction in reinforcement learning
Artificial Intelligence
Opponent interactions between serotonin and dopamine
Neural Networks - Computational models of neuromodulation
The misbehavior of value and the discipline of the will
Neural Networks - 2006 Special issue: Neurobiology of decision making
Journal of Cognitive Neuroscience
Achieving master level play in 9×9 computer go
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
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In instrumental conditioning, there is a rather precise definition of goal-directed control, and therefore an acute boundary between it and the somewhat more amorphous category comprising its opposites. Here, we review this division in terms of the various distinctions that accompany it in the fields of reinforcement learning and cognitive architectures, considering issues such as declarative and procedural control, the effect of prior distributions over environments, the neural substrates involved, and the differing views about the relative rationality of the various forms of control. Our overall aim is to reconnect some presently far-flung relations.