Browsing by Subject "reinforcement"
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Behavioral plasticity through the modulation of switch neurons
(2016)A central question in artificial intelligence is how to design agents capable of switching between different behaviors in response to environmental changes. Taking inspiration from neuroscience, we address this problem by ...
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Self-control with spiking and non-spiking neural networks playing games
(2010)Self-control can be defined as choosing a large delayed reward over a small immediate reward, while precommitment is the making of a choice with the specific aim of denying oneself future choices. Humans recognise that ...
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Spiking neural networks with different reinforcement learning (RL) schemes in a multiagent setting
(2010)This paper investigates the effectiveness of spiking agents when trained with reinforcement learning (RL) in a challenging multiagent task. In particular, it explores learning through rewardmodulated spike-timing dependent ...