Daniel A. Braun

2 accepted papers

2026

Hierarchical Goal Abstractions via Learned Subset Relations

Fabian Wurzberger, Sebastian Gottwald, Zeqiang Zhang, Daniel A Braun

ICML 2026poster

In self-supervised goal-conditioned reinforcement learning (RL) without external rewards, goals are typically specified by observations sampled from experience. However, depending on the observation structure, such a fixed representation of goals may be either too concrete (requiring exact pixel-lev…

Cited by 0 Source ↗Scholar ↗

2017

An information-theoretic on-line update principle for perception-action coupling

Zhen Peng, Tim Genewein, Felix Leibfried, Daniel A. Braun

IROS 2017poster

Inspired by findings of sensorimotor coupling in humans and animals, there has recently been a growing interest in the interaction between action and perception in robotic systems [1]. Here we consider perception and action as two serial information channels with limited information-processing capac…

Cited by 18 Source ↗Scholar ↗