it certainly should have to consider different models of what the next transition will be like.
Yeah I was agreeing with that.
even though the Q learner is trained using its own point estimate of the next state, it isn’t, at inference time, given access to that point estimate.
Right, but one thing the Q-network, in its forward pass, is trying to reproduce is the point of estimate of the Q-value of the next state (since it doesn’t have access to it). What it isn’t trying to reproduce, because it isn’t trained that way, is multiple models of what the Q-value might be at a given possible next state.
Yeah I was agreeing with that.
Right, but one thing the Q-network, in its forward pass, is trying to reproduce is the point of estimate of the Q-value of the next state (since it doesn’t have access to it). What it isn’t trying to reproduce, because it isn’t trained that way, is multiple models of what the Q-value might be at a given possible next state.