Matthew Taylor

5 papers · 2014–2023 · 3 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 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Gold 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird

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Venues

AAAI (2) NeurIPS (2) ICML (1)

Top co-authors

Jun Wang (2) Kun Shao (2) Michael Guevarra (1) Carrie Demmans Epp (1) Feifei Tong (1) Sergey Levine (1) Jiangcheng Zhu (1) Manan Tomar (1) Tianpei Yang (1) Eric Eaton (1)

Research topics

Machine Learning (5) Learning Types (5) Reinforcement Learning (4) Artificial Intelligence (3) Core AI (3) Methods (3) Applications · Reinforcement Learning (2) Computer Vision (1) Robotics (1) Applications · Robotics (1) Core Methods (1) Domain-Specific (1) Learning Paradigms (1)

Keywords

representation learning (1) multi-agent reinforcement learning (1) reinforcement learning (1) sample efficiency (1) multi-task learning (1) imitation learning (1) policy gradient (1) sequential decision making (1) knowledge transfer (1) policy learning (1) error detection (1) human feedback (1) markov game (1) value factorization (1) sparse reward (1) reward shaping (1) cooperative game (1) behavioral cloning (1) robust control (1) credit assignment (1)

Papers

Augmenting Flight Training with AI to Efficiently Train Pilots AAAI 2023 Ignorance is Bliss: Robust Control via Information Gating NeurIPS 2023 Learning to Shape Rewards Using a Game of Two Partners AAAI 2023 Multiagent Q-learning with Sub-Team Coordination NeurIPS 2022 Online Multi-Task Learning for Policy Gradient Methods ICML 2014