The battle at OpenAI was possibly due to a massive breakthrough dubbed Q* (Q-learning). Q* is a precursor to AGI. What Q* might have done is bridged a big gap between Q-learning and pre-determined ...

The Data Science Doctor explains how to use the reinforcement learning branch of machine learning with the Q-learning approach, providing code on how to solve a maze problem for an easy-to-understand ...

Q-learning is a type of reinforcement learning algorithm that teaches agents how to act in a given environment to maximise rewards over time. It uses a simple but powerful idea: learn from ...

Not everyone was so enthused by the reported breakthrough. Gary Marcus, an AI expert and deep-learning critic, expressed doubts about Q*'s reported capabilities in a post on his Substack.

Rui Song, Weiwei Wang, Donglin Zeng, Michael R. Kosorok, PENALIZED Q-LEARNING FOR DYNAMIC TREATMENT REGIMENS, Statistica Sinica, Vol. 25, No. 3 (July 2015), pp. 901-920 ...