Zengmao Wang

Predicting Consequences and Reinforcing Navigation Policies with Latent World Models

This work proposes a compatibility prediction Latent World Model for robot navigation that predicts action-conditioned latent feature compatibility rather than reconstructing observations and demonstrates how the learned world model can supervise policy learning from unlabeled video data and improve policies through re...