Andrew Ng's doctoral thesis, titled Shaping and Policy Search in Reinforcement Learning, significantly contributed to the fields of artificial intelligence (AI) and machine learning, with a ...

Learning from the past is critical for shaping the future, especially when it comes to economic policymaking. Building upon the current methods in the application of Reinforcement Learning (RL) to the ...

Reinforcement Pre-Training (RPT) is a new method for training large language models (LLMs) by reframing the standard task of predicting the next token in a ...