Philipp Wu

4 papers · 2022–2025 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird

Venues

CoRL (3) ICML (1)

Top co-authors

Pieter Abbeel (4) Jitendra Malik (1) Arjun Majumdar (1) Aravind Rajeswaran (1) Kevin Zakka (1) Yixin Lin (1) Igor Mordatch (1) Alexei A Efros (1) Feishi Wang (1) Trevor Darrell (1)

Research topics

Reinforcement Learning (3) Applications (3) Methods (3) Artificial Intelligence (2) Deep Learning (2) Core AI (2) Machine Learning (1) Robotics (1) Capabilities (1) Core Methods (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Models (1)

Keywords

deep reinforcement learning (1) representation learning (1) offline reinforcement learning (1) online learning (1) sequential decision making (1) self-supervised learning (1) trajectory prediction (1) model-based reinforcement learning (1) high-dimensional control (1) generative model (1) world model (1) inverse dynamics model (1) forward dynamics model (1) zero-shot transfer (1) dexterous manipulation (1) masked modeling (1) robotic hand (1) multimodal feedback (1) physical robot (1) planning in imagination (1)

Papers

The Sound of Simulation: Learning Multimodal Sim-to-Real Robot Policies with Generative Audio CoRL 2025 Masked Trajectory Models for Prediction, Representation, and Control ICML 2023 RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning CoRL 2023 DayDreamer: World Models for Physical Robot Learning CoRL 2022