Rudolf Lioutikov

16 papers · 2015–2026 · 5 venues · across top CS/AI venues

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Achievements

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🗺️ Taxonomy Completionist (32) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

👥 Mega-Team · Squad 🧬 Topic Evolution 🌈 Renaissance Researcher (5) ⚡ Prolific Year · Productive 💎 Century Club · Bronze 🗃️ Keyword Collector (80)

Venues

CoRL (5) ICLR (4) NeurIPS (4) RSS (2) CVPR (1)

Top co-authors

Gerhard Neumann (9) Moritz Reuss (7) Hongyi Zhou (7) Xiaogang Jia (6) Ge Li (5) Denis Blessing (4) Ömer Erdinç Yağmurlu (3) Xinkai Jiang (3) Onur Celik (3) Fabian Otto (2)

Research topics

Artificial Intelligence (9) Deep Learning (9) Reinforcement Learning (9) Core AI (9) Machine Learning (7) Robotics (5) Applications · Reinforcement Learning (5) Architectures (5) Methods (4) Models (4) Capabilities (3) Learning Types · Deep Learning (3) Learning Types · Machine Learning (3) Optimization & Theory (3) Applications · Robotics (2)

Keywords

imitation learning (6) mixture of expert (3) episodic reinforcement learning (2) robot learning (2) diffusion model (2) diffusion policy (2) object detection (1) curriculum learning (1) black-box optimization (1) explainable ai (1) visual representation (1) scene graph (1) deep learning (1) multimodal learning (1) variational inference (1) robot control (1) relative entropy (1) knowledge distillation (1) off-policy learning (1) policy search (1)

Papers

SIR: Structured Image Representations for Explainable Robot Learning CVPR 2026 Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning ICLR 2025 FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Flow Models CoRL 2025 IRIS: An Immersive Robot Interaction System CoRL 2025 TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning ICLR 2025 A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics NeurIPS 2024 MaIL: Improving Imitation Learning with Selective State Space Models CoRL 2024 Multimodal Diffusion Transformer: Learning Versatile Behavior from Multimodal Goals RSS 2024 Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning ICLR 2024 Scaling Robot Policy Learning via Zero-Shot Labeling with Foundation Models CoRL 2024 Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations ICLR 2024 Variational Distillation of Diffusion Policies into Mixture of Experts NeurIPS 2024 Goal-Conditioned Imitation Learning using Score-based Diffusion Policies RSS 2023 Information Maximizing Curriculum: A Curriculum-Based Approach for Learning Versatile Skills NeurIPS 2023 Distributional Depth-Based Estimation of Object Articulation Models CoRL 2021 Model-Based Relative Entropy Stochastic Search NeurIPS 2015