Pages that link to "Item:Q1042310"
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The following pages link to Reinforcement learning in the brain (Q1042310):
Displaying 26 items.
- Goal-directed learning of features and forward models (Q280351) (← links)
- On learning dynamics underlying the evolution of learning rules (Q487335) (← links)
- Role of CAMKII in reinforcement learning: a computational model of glutamate and dopamine signaling pathways (Q663943) (← links)
- Hierarchical Bayesian models of reinforcement learning: introduction and comparison to alternative methods (Q825147) (← links)
- The misbehavior of value and the discipline of the will (Q853288) (← links)
- Brain mechanism of reward prediction under predictable and unpredictable environmental dynamics (Q853315) (← links)
- Heterarchical reinforcement-learning model for integration of multiple cortico-striatal loops: fMRI examination in stimulus-action-reward association learning (Q853317) (← links)
- Neural systems implicated in delayed and probabilistic reinforcement (Q853326) (← links)
- Tutorial series on brain-inspired computing. IV: Reinforcement learning: machine learning and natural learning (Q867508) (← links)
- The relation between reinforcement learning parameters and the influence of reinforcement history on choice behavior (Q894100) (← links)
- Theoretical tools for understanding and aiding dynamic decision making (Q1042309) (← links)
- Spatial evolution of regularization in learned behavior of animals (Q1642131) (← links)
- Totally model-free actor-critic recurrent neural-network reinforcement learning in non-Markovian domains (Q1699932) (← links)
- The emergence of saliency and novelty responses from reinforcement learning principles (Q1932120) (← links)
- Mathematical modeling of learning from an inconsistent source: a nonlinear approach (Q2012321) (← links)
- A taxonomy of surprise definitions (Q2087566) (← links)
- Cooperative and non-cooperative behaviour in the exploitation of a common renewable resource with environmental stochasticity (Q2245795) (← links)
- Generosity, selfishness and exploitation as optimal greedy strategies for resource sharing (Q2335380) (← links)
- Multiple model-based reinforcement learning explains dopamine neuronal activity (Q2383510) (← links)
- Using \(\epsilon\)-greedy reinforcement learning methods to further understand ventromedial prefrontal patients' deficits on the Iowa Gambling Task (Q2383512) (← links)
- Employing labor-supply theory to measure the reward value of electrical brain stimulation (Q2567105) (← links)
- Neurally reconstructing expected utility (Q2567106) (← links)
- The application of temporal difference learning in optimal diet models (Q2632333) (← links)
- Temporal difference model reproduces anticipatory neural activity (Q2731453) (← links)
- The Neuronal Replicator Hypothesis (Q3057229) (← links)
- Design of experiments for the calibration of history-dependent models via deep reinforcement learning and an enhanced Kalman filter (Q6159325) (← links)
