Neural networks and natural intelligence
Neural networks and natural intelligence
Average reward reinforcement learning: foundations, algorithms, and empirical results
Machine Learning - Special issue on reinforcement learning
Model-based average reward reinforcement learning
Artificial Intelligence
Between MDPs and semi-MDPs: a framework for temporal abstraction in reinforcement learning
Artificial Intelligence
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Neuro-Dynamic Programming
Metalearning and neuromodulation
Neural Networks - Computational models of neuromodulation
Learning to Predict by the Methods of Temporal Differences
Machine Learning
Long-term reward prediction in TD models of the dopamine system
Neural Computation
Brief paper: Average cost temporal-difference learning
Automatica (Journal of IFAC)
Metalearning and neuromodulation
Neural Networks - Computational models of neuromodulation
Dopamine: generalization and bonuses
Neural Networks - Computational models of neuromodulation
Long-term reward prediction in TD models of the dopamine system
Neural Computation
Meta-learning in reinforcement learning
Neural Networks
Representation and timing in theories of the dopamine system
Neural Computation
Hold your horses: a dynamic computational role for the subthalamic nucleus in decision making
Neural Networks - 2006 Special issue: Neurobiology of decision making
Shifting Attention Using a Temporal Difference Prediction Error and High-Dimensional Input
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Second Order Conditioning in the Sub-cortical Nuclei of the Limbic System
SAB '08 Proceedings of the 10th international conference on Simulation of Adaptive Behavior: From Animals to Animats
2009 Special Issue: Goal-directed control and its antipodes
Neural Networks
A neurocomputational model for cocaine addiction
Neural Computation
Learning and Reversal Learning in the Subcortical Limbic System: A Computational Model
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Simulation of how neuromodulation influences cooperative behavior
SAB'10 Proceedings of the 11th international conference on Simulation of adaptive behavior: from animals to animats
Neural affective decision theory: Choices, brains, and emotions
Cognitive Systems Research
Understanding the role of serotonin in basal ganglia through a unified model
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
Anubis: Artificial neuromodulation using a bayesian inference system
Neural Computation
From occasional choices to inevitable musts: a computational model of nicotine addiction
Computational Intelligence and Neuroscience
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Anatomical and pharmacological evidence suggests that the dorsal raphe serotonin system and the ventral tegmental and substantia nigra dopamine system may act as mutual opponents. In the light of the temporal difference model of the involvement of the dopamine system in reward learning, we consider three aspects of motivational opponency involving dopamine and serotonin. We suggest that a tonic serotonergic signal reports the long-run average reward rate as part of an average-case reinforcement learning model; that a tonic dopaminergic signal reports the long-run average punishment rate in a similar context; and finally speculate that a phasic serotonin signal might report an ongoing prediction error for future punishment.