[R] Rethinking Open'sAI's Q-Learning : Insights from the Award-Winning 'Non-delusional Q-learning' Paper

OpenAI's approach to Q-Learning has been drawing significant attention recently.

However, there's a fundamental issue in the way Q-learning is typically implemented in deep learning and neural network environments. This concern is highlighted in the award-winning paper "Non-delusional Q-learning," presented at NeurIPS.

The paper suggests a fundamental flaw in the blind application of Q-learning updates to deep neural networks. It points out that such updates can create a self-contradictory scenario where improving the network for the current batch of data …

attention deep learning environments insights issue machinelearning network neural network neurips openai paper q-learning