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Research Overview

Intrinsically Motivated Learning

Regularity as Intrinsic Reward for Free Play

SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models

Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation

Learning with Muscles

Natural and Robust Walking from Generic Rewards

The effect of muscles in Learning Behavior

Scaling RL to Large Musculoskeletal Systems

Reinforcement Learning for Diverse Solutions

Offline Diversity Under Imitation Constraints

Learning Diverse Skills for Local Navigation

Learning Agile Skills via Adversarial Imitation of Rough Partial Demonstrations

Reinforcement Learning and Control

Model-based Reinforcement Learning and Planning

Causal Reasoning in RL

Intrinsically Motivated Hierarchical Learner

Regularity as Intrinsic Reward for Free Play

Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation

Natural and Robust Walking from Generic Rewards

Goal-conditioned Offline Planning

Offline Diversity Under Imitation Constraints

Learning Diverse Skills for Local Navigation

Learning Agile Skills via Adversarial Imitation of Rough Partial Demonstrations

Deep Learning

Combinatorial Optimization as a Layer / Blackbox Differentiation

Symbolic Regression and Equation Learning

Representation Learning

Learning with 3D rotations: A hitchhiker’s guide to SO(3)

Haptic Sensing

Super-resolution Sensing for Haptics

Insight: a Haptic Sensor Powered by Vision and Machine Learning

Minsight: Learning-based tactile sensing for robotics

ML for Science

Symbolic Regression and Equation Learning

Previous Research Projects

Learning to Control Emulated Muscles in Real Robots: A Software Test Bed for Bio-Inspired Actuators in Hardware

Combinatorial Optimization as a Layer / Blackbox Differentiation

Causal Action Influence Aware Counterfactual Data Augmentation

Dual-Force: Enhanced Offline Diversity Maximization under Imitation Constraints

Versatile Skill Control via Self-supervised Adversarial Imitation of Unlabeled Mixed Motions

On Imitation in Mean-field Games

Online Learning under Adversarial Nonlinear Constraints

Autonomous Learning Members Publications

Members

Empirical Inference, Autonomous Learning
Georg Martius
Senior Research Scientist
Autonomous Learning
Maximilian Seitzer
  • Doctoral Researcher

Publications

Autonomous Learning Conference Paper On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks Seitzer, M., Tavakoli, A., Antic, D., Martius, G. International Conference on Learning Representations (ICLR 2022), Tenth International Conference on Learning Representations (ICLR 2022) , April 2022 (Published) URL BibTeX