Embodied cognition. - Peter König; Andrew Melnik; Caspar Goeke; Anna L. Gert; Sabine U. König; Tim C. Kietzmann (BCI, 2018)

Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments. - Lukasz Kidzinski; Sharada Prasanna Mohanty; Carmichael F. Ong; Zhewei Huang; Shuchang Zhou 001; Anton Pechenko; Adam Stelmaszczyk; Piotr Jarosik; Mikhail Pavlov; Sergey Kolesnikov; Sergey M. Plis; Zhibo Chen 001; et al. (CoRR, 2018)

Jointly Trained Variational Autoencoder for Multi-Modal Sensor Fusion. - Timo Korthals; Marc Hesse; Jürgen Leitner; Andrew Melnik; Ulrich Rückert 001 (FUSION, 2019)

Modularization of End-to-End Learning: Case Study in Arcade Games. - Andrew Melnik; Sascha Fleer; Malte Schilling; Helge J. Ritter (CoRR, 2019)

An Error-Based Addressing Architecture for Dynamic Model Learning. - Nicolas Bach; Andrew Melnik; Federico Rosetto; Helge J. Ritter (LOD (2), 2020)

Learn to Move Through a Combination of Policy Gradient Algorithms: DDPG, D4PG, and TD3. - Nicolas Bach; Andrew Melnik; Malte Schilling; Timo Korthals; Helge J. Ritter (LOD (2), 2020)

Towards robust and domain agnostic reinforcement learning competitions: MineRL 2020. - William Hebgen Guss; Stephanie Milani; Nicholay Topin; Brandon Houghton; Sharada P. Mohanty; Andrew Melnik; Augustin Harter; Benoit Buschmaas; Bjarne Jaster; Christoph Berganski; Dennis Heitkamp; Marko Henning; et al. (NeurIPS (Competition and Demos), 2020)

Solving Physics Puzzles by Reasoning about Paths. - Augustin Harter; Andrew Melnik; Gaurav Kumar; Dhruv Agarwal 002; Animesh Garg; Helge J. Ritter (CoRR, 2020)

Critic Guided Segmentation of Rewarding Objects in First-Person Views. - Andrew Melnik; Augustin Harter; Christian Limberg; Krishan Rana; Niko Sünderhauf; Helge J. Ritter (KI, 2021)

Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. - Christian Eichenberger; Moritz Neun; Henry Martin; Pedro Herruzo; Markus Spanring; Yichao Lu; Sungbin Choi; Vsevolod Konyakhin; Nina Lukashina; Aleksei Shpilman; Nina Wiedemann; Martin Raubal; et al. (NeurIPS (Competition and Demos), 2021)

Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition. - Stephanie Milani; Anssi Kanervisto; Karolis Ramanauskas; Sander Schulhoff; Brandon Houghton; Sharada P. Mohanty; Byron Galbraith; Ke Chen; Yan Song; Tianze Zhou; Bingquan Yu; He Liu; et al. (NeurIPS (Competition and Demos), 2021)

Towards robust and domain agnostic reinforcement learning competitions. - William Hebgen Guss; Stephanie Milani; Nicholay Topin; Brandon Houghton; Sharada P. Mohanty; Andrew Melnik; Augustin Harter; Benoit Buschmaas; Bjarne Jaster; Christoph Berganski; Dennis Heitkamp; Marko Henning; et al. (CoRR, 2021)

Using Tactile Sensing to Improve the Sample Efficiency and Performance of Deep Deterministic Policy Gradients for Simulated In-Hand Manipulation Tasks. - Andrew Melnik; Luca Lach; Matthias Plappert; Timo Korthals; Robert Haschke; Helge J. Ritter (Frontiers Robotics AI, 2021)

Decentralized control and local information for robust and adaptive decentralized Deep Reinforcement Learning. - Malte Schilling; Andrew Melnik; Frank W. Ohl; Helge J. Ritter; Barbara Hammer (Neural Networks, 2021)

Transfer Learning with Jukebox for Music Source Separation. - Wadhah Zai El Amri; Oliver Tautz; Helge J. Ritter; Andrew Melnik (AIAI (2), 2022)

A Graph-based U-Net Model for Predicting Traffic in unseen Cities. - Luca Hermes; Barbara Hammer; Andrew Melnik; Riza Velioglu; Markus Vieth; Malte Schilling (IJCNN, 2022)

YOLO - You only look 10647 times. - Christian Limberg; Andrew Melnik; Augustin Harter; Helge J. Ritter (CoRR, 2022)

Faces: AI Blitz XIII Solutions. - Andrew Melnik; Eren Akbulut; Jannik Sheikh; Kira Loos; Michael Büttner; Tobias Lenze (CoRR, 2022)

Solving Learn-to-Race Autonomous Racing Challenge by Planning in Latent Space. - Shivansh Beohar; Fabian Heinrich; Rahul Kala; Helge J. Ritter; Andrew Melnik (CoRR, 2022)

Planning with RL and episodic-memory behavioral priors. - Shivansh Beohar; Andrew Melnik (CoRR, 2022)

Behavioral Cloning via Search in Video PreTraining Latent Space. - Federico Malato; Florian Leopold; Amogh Raut; Ville Hautamäki; Andrew Melnik (CoRR, 2022)

Shape Complexity Estimation Using VAE. - Markus Rothgänger; Andrew Melnik; Helge J. Ritter (IntelliSys (3), 2023)

YOLO: You Only Look 10647 Times. - Christian Limberg; Andrew Melnik; Helge J. Ritter; Helmut Prendinger (VISIGRAPP (5: VISAPP), 2023)

Stroke-based Rendering: From Heuristics to Deep Learning. - Florian Nolte; Andrew Melnik; Helge J. Ritter (CoRR, 2023)

Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition. - Stephanie Milani; Anssi Kanervisto; Karolis Ramanauskas; Sander Schulhoff; Brandon Houghton; Sharada P. Mohanty; Byron Galbraith; Ke Chen; Yan Song; Tianze Zhou; Bingquan Yu; He Liu; et al. (CoRR, 2023)

Contrastive Language, Action, and State Pre-training for Robot Learning. - Krishan Rana; Andrew Melnik; Niko Sünderhauf (CoRR, 2023)

Behavioral Cloning via Search in Embedded Demonstration Dataset. - Federico Malato; Florian Leopold; Ville Hautamäki; Andrew Melnik (CoRR, 2023)

Language-Conditioned Semantic Search-Based Policy for Robotic Manipulation Tasks. - Jannik Sheikh; Andrew Melnik; Gora Chand Nandi; Robert Haschke (CoRR, 2023)

UniTeam: Open Vocabulary Mobile Manipulation Challenge. - Andrew Melnik; Michael Büttner; Leon Harz; Lyon Brown; Gora Chand Nandi; Arjun P. S; Gaurav Kumar Yadav; Rahul Kala; Robert Haschke (CoRR, 2023)

Benchmarks for Physical Reasoning AI. - Andrew Melnik; Robin Schiewer; Moritz Lange; Andrei Ioan Muresanu; Mozhgan Saeidi; Animesh Garg; Helge J. Ritter (Trans. Mach. Learn. Res., 2023)

Zero-Shot Imitation Policy Via Search In Demonstration Dataset. - Federico Malato; Florian Leopold; Andrew Melnik; Ville Hautamäki (ICASSP, 2024)

Natural Language as Polices: Reasoning for Coordinate-Level Embodied Control with LLMs. - Yusuke Mikami; Andrew Melnik; Jun Miura; Ville Hautamäki (CoRR, 2024)

Exploring Unseen Environments with Robots using Large Language and Vision Models through a Procedurally Generated 3D Scene Representation. - Arjun P. S; Andrew Melnik; Gora Chand Nandi (CoRR, 2024)

Lane Segmentation Refinement with Diffusion Models. - Antonio Ruiz; Andrew Melnik; Dong Wang; Helge J. Ritter (CoRR, 2024)

Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge. - Sriram Yenamandra; Arun Ramachandran; Mukul Khanna; Karmesh Yadav; Jay Vakil; Andrew Melnik; Michael Büttner; Leon Harz; Lyon Brown; Gora Chand Nandi; Arjun P. S; Gaurav Kumar Yadav; et al. (CoRR, 2024)

Object and Contact Point Tracking in Demonstrations Using 3D Gaussian Splatting. - Michael Büttner; Jonathan Francis; Helge Rhodin; Andrew Melnik (CoRR, 2024)

SplatR : Experience Goal Visual Rearrangement with 3D Gaussian Splatting and Dense Feature Matching. - Arjun P. S; Andrew Melnik; Gora Chand Nandi (CoRR, 2024)

STEVE-Audio: Expanding the Goal Conditioning Modalities of Embodied Agents in Minecraft. - Nicholas Lenzen; Amogh Raut; Andrew Melnik (CoRR, 2024)

Video Diffusion Models: A Survey. - Andrew Melnik; Michal Ljubljanac; Cong Lu; Qi Yan; Weiming Ren; Helge J. Ritter (Trans. Mach. Learn. Res., 2024)

Face Generation and Editing With StyleGAN: A Survey. - Andrew Melnik; Maksim Miasayedzenkau; Dzianis Makarovets; Dzianis Pirshtuk; Eren Akbulut; Dennis Holzmann; Tarek Renusch; Gustav Reichert; Helge J. Ritter (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Digital Twin Generation from Visual Data: A Survey. - Andrew Melnik; Benjamin Alt; Giang Nguyen; Artur Wilkowski; Maciej Stefanczyk; Qirui Wu; Sinan Harms; Helge Rhodin; Manolis Savva; Michael Beetz (CoRR, 2025)

GRIM: Task-Oriented Grasping with Conditioning on Generative Examples. - Shailesh; Alok Raj; Nayan Kumar; Priya Shukla; Andrew Melnik; Micheal Beetz; Gora Chand Nandi (CoRR, 2025)

Grounding Language Models with Semantic Digital Twins for Robotic Planning. - Mehreen Naeem; Andrew Melnik; Michael Beetz (CoRR, 2025)

Object-centric Denoising Diffusion Models for Physical Reasoning. - Moritz Lange; Raphael C. Engelhardt; Wolfgang Konen; Andrew Melnik; Laurenz Wiskott (CoRR, 2025)