[R] LIV paper - Dense rewards for robots

Reading this paper (https://arxiv.org/abs/2306.00958), it looks like the right approach on how embodied agents and robots should be trained.

It also reminds one of how recently openai improved mathematical reasoning in LLMs through process supervision.

It seems research is converging on training models the way an athlete receives detailed feedback and training from a personal coach.

coach feedback llms machinelearning mathematical reasoning openai process process supervision reasoning research supervision through training