Michael Ahn

5 papers · 2019–2023 · 2 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird 👥 Mega-Team · Squad

Venues

CoRL (3) RSS (2)

Top co-authors

Vikash Kumar (3) Sergey Levine (3) Hugo Ponte (2) Vincent Vanhoucke (2) Karol Hausman (2) Peng Xu (2) Yuheng Kuang (2) Pierre Sermanet (2) Rosario Jauregui Ruano (1) Jasmine Hsu (1)

Research topics

Machine Learning (3) Reinforcement Learning (3) Applications (3) Artificial Intelligence (2) Robotics (2) Capabilities (2) Learning Types (2) Computer Vision (1) Deep Learning (1) Architectures (1) Core AI (1) Core Methods (1) Domain-Specific (1) Learning Paradigms (1) Methods (1)

Keywords

zero-shot transfer (2) sim-to-real transfer (2) reinforcement learning (1) model predictive control (1) domain randomization (1) hierarchical reinforcement learning (1) value function (1) continuous control (1) skill discovery (1) quadruped locomotion (1) off-policy learning (1) off-policy reinforcement learning (1) unsupervised skill discovery (1) unsupervised reinforcement learning (1) skill composition (1) legged locomotion (1) dexterous manipulation (1) perception system (1) hierarchical sim2real (1) multi-agent manipulation (1)

Papers

Robotic Table Tennis: A Case Study into a High Speed Learning System RSS 2023 Do As I Can, Not As I Say: Grounding Language in Robotic Affordances CoRL 2022 Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning RSS 2020 Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real CoRL 2019 ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots CoRL 2019