9 Promising Applications of Reinforcement Learning in 2021

Reinforcement Learning(RL) provides solutions to a sequential decision making problem or a problem that can be re-structured as sequential in nature. Such puzzles do not depend on a single decision made at a certain point in time but on an entire sequence of trailing choices -- an example of this is treatment procedures in healthcare. It is desirable to run RL systems in the real world and have real benefits. This is something that has seen growing application success, but with its own set of challenges. This post explores exciting applications of RL in the real world that promise to give beneficial use cases, as discussed in this year's RL for real-life workshop.