Reinforcement Failing guides the discovery of emergent physical dynamics in adaptive tumor therapy
Abstract Artificial intelligence is revolutionizing scientific discovery in medicine, with reinforcement learning (RL) emerging as a promising tool for optimizing therapeutic strategies. Yet applying RL to complex scenarios such as therapy dynamics in solid tumors is constrained by the challenge of constructing trainin...