They have, but unfortunately missed the mark badly with dualism and more recently computational and representational approaches.

I am pinning my hopes on 5E's: embodied, embedded, extended, and enacted cognition - this is the closest to reinforcement learning. In my opinion RL is how we should see things - agent and environment, action and effect, reward and learning, exploration and exploitation. No need to use imprecise words like consciousness, let's prefer concrete words like observation, state, value and action.

I am waiting to see the philosophical community take note of the AI advancements in the last 3 years but I don't see it. It's as if they are in a bubble. They still talk theoretically about things the AI people can already build (p-zombies, Chinese rooms). There's probably a slowness in philosophy, it usually takes decades or centuries for changes to happen.