Should we abandon RL? Is it the right approach?

No, we should not abandon reinforcement learning. I get it though — RL algorithms are brittle, difficult to scale, and complicated. However, this question is predicated on a misconception. RL is not an approach. RL is a problem definition . RL is the problem of determining how an agent should make decisions in an unfamiliar environment. It must act to both learn about its environment and pursue…