Ruoqing Zhu

Quasi-optimal Reinforcement Learning with Continuous Actions

Many real-world applications of reinforcement learning (RL) require making decisions in continuous action environments. In particular, determining the optimal dose level plays a vital role in developing medical treatment regimes. One challenge in adapting existing RL algorithms to medical applicatio…