Michael Neunert

13 papers · 2017–2024 · 5 venues · across top CS/AI venues

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Achievements

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🗺️ Taxonomy Completionist (20) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird

🔬 Deep Specialist (11) 👥 Mega-Team · Squad 🤝 Dynamic Duo (12) 📈 Trend Setter 💎 Century Club · Bronze 🗃️ Keyword Collector (69) 🔥 Unstoppable · Bronze

Venues

CoRL (5) ICML (3) RSS (3) ICLR (1) L4DC (1)

Top co-authors

Martin Riedmiller (12) Abbas Abdolmaleki (10) Thomas Lampe (9) Nicolas Heess (9) Roland Hafner (8) Jost Tobias Springenberg (6) Markus Wulfmeier (5) Tim Hertweck (4) Noah Siegel (4) Jonas Buchli (3)

Research topics

Reinforcement Learning (13) Applications (11) Machine Learning (10) Methods (9) Artificial Intelligence (8) Core AI (6) Learning Types (6) Learning Paradigms (3) Optimization & Theory (3) Robotics (2) Capabilities (2) Mathematics & Optimization (1) Application Areas (1) Optimization (1) Systems (1)

Keywords

policy optimization (4) reinforcement learning (4) off-policy learning (3) robot manipulation (3) multi-task learning (3) optimal control (2) continuous control (2) transfer learning (2) deep reinforcement learning (2) offline reinforcement learning (2) hierarchical reinforcement learning (1) compositional learning (1) distributional reinforcement learning (1) robotic manipulation (1) policy learning (1) batch learning (1) preference learning (1) model-based reinforcement learning (1) constraint satisfaction (1) trajectory optimization (1)

Papers

Real-world fluid directed rigid body control via deep reinforcement learning L4DC 2024 A Constrained Multi-Objective Reinforcement Learning Framework CoRL 2021 Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes CoRL 2021 Data-efficient Hindsight Off-policy Option Learning ICML 2021 A distributional view on multi-objective policy optimization ICML 2020 Compositional Transfer in Hierarchical Reinforcement Learning RSS 2020 Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning ICLR 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 Imagined Value Gradients: Model-Based Policy Optimization with Tranferable Latent Dynamics Models CoRL 2019 Simultaneously Learning Vision and Feature-Based Control Policies for Real-World Ball-In-A-Cup RSS 2019 Learning by Playing Solving Sparse Reward Tasks from Scratch ICML 2018 Hybrid direct collocation and control in the constraint-consistent subspace for dynamic legged robot locomotion RSS 2017