LEAF: Latent Exploration Along the Frontier
Homanga Bharadhwaj,Animesh Garg,Florian Shkurti,Homanga Bharadhwaj,Animesh Garg,Florian Shkurti
Self-supervised goal proposal and reaching is a key component for exploration and efficient policy learning algorithms. Such a self-supervised approach without access to any oracle goal sampling distribution requires deep exploration and commitment so that long horizon plans can be efficiently discovered. In this paper, we propose an exploration framework, which learns a dynamics-aware manifold of...
