Operant conditioning, sometimes called instrumental conditioning or Skinnerian conditioning, is a method of learning that uses rewards and punishment to modify behavior. Through operant conditioning, ...

Key takeaway: When learning over discrete prompts used in modern vision-language models, classical PAC-Bayes bounds turn out to be remarkably tight — significantly tighter than prior PAC-Bayes results ...

Deep neural networks’ seemingly anomalous generalization behaviors, benign overfitting, double descent, and successful overparametrization are neither unique to neural networks nor inherently ...

If you want to improve your aerobic capacity, play full-court basketball, not softball. To improve your analytical skills, learn to play chess or bridge, not Chutes and Ladders. If you really want to ...

Summary: Classical and operant conditioning compete in the brain, preventing simultaneous learning of conflicting actions. Using fruit flies, researchers demonstrated that attempting to teach both ...

Researchers at Tel Aviv University have discovered that the brain cannot learn simultaneously through both classical conditioning and operant conditioning. In fact, the brain actively prevents the ...

Ashish Pawar is an experienced software engineer skilled in creating scalable software and AI-enhanced solutions across data-driven and cloud applications, with a proven track record at companies like ...

Right now, the conditioning example in train_conditioning.py is a red herring - the conditioning does nothing. As suggested in a code review, we should make one of the conditions remove (at least one) ...