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Markus Wulfmeier

20 papers · 2017–2025 · 6 venues · across top CS/AI venues

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Achievements

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+10 more ↓ πŸ—ΊοΈ Taxonomy Completionist (34) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🀝 Dynamic Duo (10) 🧬 Topic Evolution πŸ”¬ Deep Specialist (11) πŸš€ Conference Pioneer πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (99)

Venues

CoRL (7) ICLR (5) ICML (3) L4DC (2) NeurIPS (2) RSS (1)

Top co-authors

Martin Riedmiller (10) Nicolas Heess (8) Dhruva Tirumala (5) Michael Neunert (5) Thomas Lampe (5) Roland Hafner (4) Tim Hertweck (4) Tim Seyde (4) Abbas Abdolmaleki (4) Daniela Rus (4)

Research topics

Reinforcement Learning (17) Methods (14) Machine Learning (13) Artificial Intelligence (11) Applications Β· Reinforcement Learning (11) Learning Types Β· Machine Learning (11) Core AI (10) Robotics (7) Capabilities (6) Deep Learning (3) Learning Paradigms (3) Learning Types Β· Deep Learning (3) Natural Language Processing (1) Application Areas (1) Applications Β· Robotics (1)

Keywords

reinforcement learning (6) continuous control (5) imitation learning (4) deep reinforcement learning (3) inverse reinforcement learning (2) transfer learning (2) value decomposition (2) off-policy learning (2) sparse reward (2) data efficiency (2) optimal control (2) robot manipulation (2) discrete action space (2) multi-task learning (2) policy gradient (1) domain generalization (1) locomotion control (1) sample efficiency (1) multi-agent reinforcement learning (1) sim-to-real transfer (1)

Papers

EvoControl: Multi-Frequency Bi-Level Control for High-Frequency Continuous Control ICML 2025 Growing Q-networks: Solving continuous control tasks with adaptive control resolution L4DC 2024 Imitating Language via Scalable Inverse Reinforcement Learning NeurIPS 2024 Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning CoRL 2024 Massively Scalable Inverse Reinforcement Learning in Google Maps ICLR 2024 Real-world fluid directed rigid body control via deep reinforcement learning L4DC 2024 Replay across Experiments: A Natural Extension of Off-Policy RL ICLR 2024 Solving Continuous Control via Q-learning ICLR 2023 Learning transferable motor skills with hierarchical latent mixture policies ICLR 2022 Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation ICLR 2022 Data-efficient Hindsight Off-policy Option Learning ICML 2021 Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies NeurIPS 2021 Strength Through Diversity: Robust Behavior Learning via Mixture Policies CoRL 2021 Attention-Privileged Reinforcement Learning CoRL 2020 Compositional Transfer in Hierarchical Reinforcement Learning RSS 2020 Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion CoRL 2020 Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics CoRL 2019 TACO: Learning Task Decomposition via Temporal Alignment for Control ICML 2018 Mutual Alignment Transfer Learning CoRL 2017 Reverse Curriculum Generation for Reinforcement Learning CoRL 2017