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 ...
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 ...
Despite the catchy title, I'm not interested in personal opinions here. I am however, interested in feedback on how to better phrase the question so as to avoid personal opinions. After some ...
In a binary prediction task, people often match choice probabilities to outcome probabilities (a phenomenon known as probability matching). However, under certain circumstances (eg, existence of a ...
Reinforcement learning is the act of learning how to preform a task given punishment and reward. A "state-space" is the space of choices in a context. When performing a reinforcement learning task, is ...
There are multiple examples in the machine learning literature of trying to learn the hierarchical structure of a reinforcement learning problem, however have there been any papers tying this learning ...