Keiran Paster

Planning from Pixels using Inverse Dynamics Models

2020 · arXiv (Cornell University)

Learning task-agnostic dynamics models in high-dimensional observation spaces can be challenging for model-based RL agents. We propose a novel way to learn latent world models by learning to predict sequences of future actions conditioned on …