However, in many practical applications, the state of the environment is inherently continuous innature.

Treatment individualization and adaptation over time are crucial for managing chronic diseases.

We assess AOC's performance in both simulated and real-world healthcare scenarios, emphasizing its capability to manage offline control tasks with high

This paper considers the problem of designing optimal algorithms for reinforcement learning in two-player zero-sum games. We focus on self-play algorithms which learn theoptimal policy by playing againstitself without any direct supervision.

Bandits, Reinforcement Learning