The study of what actions an agent should take in a stochastic environment in order to maximize a cumulative reward.

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A basic question on reinforcement learning

Reinforcement learning is defined not by characterizing learning methods, but by characterizing a learning problem. Any method that is well suited to solving that problem, we consider to be a ...
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What causes behavioural inhibition?

There are obvious consequences that prevent people from behaving anti-socially or criminally. However there are many behaviours that are within the bounds of social norms, yet there seems to be some ...
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Is it possible to create an inhibition against some activities?

There is an unexplained psychological reason that causes one not to be able to do some random activities (for instance, not being able to eat several days because one's mouth just won't open to take ...
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'Model-free' learning in humans

In reinforcement learning, there is a stark distinction between model-based and model-free learning algorithms, where model-free methods don't make use any explicit information about the dynamics of ...
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Are there any connectionist models that integrate reinforcement and fully supervised learning?

I've been working on modeling some phenomena involving real-time control in an environment with inherent rewards (specifically, playing a 'pong'-like game), and it's increasingly looking like ...
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How does goal-tracking and sign-tracking behaviour vary across species?

In Pavlonian (Classical) Conditioning, conditioned responses of an animal may vary. Some animals focus on the unconditioned stimulus (ie. food / location of food) while others may focus on the ...
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Refinements of Rescorla-Wagner model of classical conditioning

The Rescorla-Wagner model is one of the most commonly discussed mathematical models of classical conditioning. It was wildly popular when it came out in 1972, and very successful. The same math, is ...