I've also been struggling with this after reading a little bit about these regret minimisation models.
Can someone explain how there is any difference in these CFR model from a normal reinforcement learning algorithm where you just take your loss function as the "regret" in CFR terms?
Can someone explain how there is any difference in these CFR model from a normal reinforcement learning algorithm where you just take your loss function as the "regret" in CFR terms?