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← Authors

Markus Wulfmeier

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

Achievements

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+13 more ↓ 🌍 Conference Polyglot (6) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (8)
🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (29) 🧭 Keyword Pioneer 🌱 Topic Pioneer 🧬 Topic Evolution 🀝 Dynamic Duo (10) πŸ—ƒοΈ Keyword Collector (70) ❓ The Questioner ⚑ Prolific Year (6) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (20) πŸ”₯ Unstoppable (9)

Conferences

CORL (7) ICLR (5) ICML (3) L4DC (2) NIPS (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)

Keywords

reinforcement learning (6) continuous control (4) imitation learning (3) transfer learning (2) off-policy learning (2) multi-task learning (2) robot manipulation (2) optimal control (2) deep reinforcement learning (2) offline reinforcement learning (1) domain generalization (1) sequence modeling (1) policy gradient (1) hyperparameter optimization (1) locomotion control (1) domain randomization (1) sim-to-real transfer (1) compositional learning (1) inverse reinforcement learning (1) attention mechanism (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 Real-world fluid directed rigid body control via deep reinforcement learning L4DC 2024 Imitating Language via Scalable Inverse Reinforcement Learning NIPS 2024 Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning CORL 2024 Replay across Experiments: A Natural Extension of Off-Policy RL ICLR 2024 Massively Scalable Inverse Reinforcement Learning in Google Maps ICLR 2024 Solving Continuous Control via Q-learning ICLR 2023 Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation ICLR 2022 Learning transferable motor skills with hierarchical latent mixture policies ICLR 2022 Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies NIPS 2021 Strength Through Diversity: Robust Behavior Learning via Mixture Policies CORL 2021 Data-efficient Hindsight Off-policy Option Learning ICML 2021 Attention-Privileged Reinforcement Learning CORL 2020 Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion CORL 2020 Compositional Transfer in Hierarchical Reinforcement Learning RSS 2020 Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics CORL 2019 TACO: Learning Task Decomposition via Temporal Alignment for Control ICML 2018 Reverse Curriculum Generation for Reinforcement Learning CORL 2017 Mutual Alignment Transfer Learning CORL 2017