Kevin Stone

3 papers · 2021–2023 · 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 (12)

Venues

ICML (2) CoRL (1)

Top co-authors

Igor Mordatch (1) Aravind Rajeswaran (1) Yixin Lin (1) Mark Tjersland (1) Youwei Liang (1) Arjun Majumdar (1) Yuandong Tian (1) Hugh James Leather (1) Mostafa Elhoushi (1) Pieter Abbeel (1)

Research topics

Machine Learning (3) Reinforcement Learning (2) Application Areas (2) Methods (2) Computer Vision (1) Deep Learning (1) Analysis (1) Applications (1) Core Methods (1) Domain-Specific (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Optimization & Theory (1)

Keywords

representation learning (1) reinforcement learning (1) offline reinforcement learning (1) sim-to-real transfer (1) object detection (1) sequential decision making (1) self-supervised learning (1) trajectory prediction (1) policy learning (1) stereo matching (1) oriented bounding box (1) synthetic data (1) inverse dynamics model (1) forward dynamics model (1) compiler optimization (1) masked modeling (1) program optimization (1) masked trajectory model (1)

Papers

Learning Compiler Pass Orders using Coreset and Normalized Value Prediction ICML 2023 Masked Trajectory Models for Prediction, Representation, and Control ICML 2023 SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo CoRL 2021