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Sanmit Narvekar

4 papers · 2017–2020 · 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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+2 more ↓ πŸ—ΊοΈ Taxonomy Completionist (10) πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🌍 Conference Polyglot Β· Bronze 🐣 Hot Topic Early Bird πŸ† Keyword Champion (3)
🧭 Keyword Pioneer πŸ“ˆ Trend Setter

Venues

IJCAI (3) JMLR (1)

Top co-authors

Peter Stone (2) Jivko Sinapov (2) Jing Wang (1) Bei Peng (1) Eugene Ie (1) Rui Wu (1) Vihan Jain (1) Tushar Chandra (1) Matthew E. Taylor (1) Ritesh Agarwal (1)

Research topics

Artificial Intelligence (4) Machine Learning (4) Learning Paradigms Β· Artificial Intelligence (3) Learning Types (3) Reinforcement Learning (2) Core AI (2) Methods (2) Application Areas (1) Learning Paradigms Β· Machine Learning (1)

Keywords

task sequencing (3) curriculum learning (3) transfer learning (3) reinforcement learning (2) target task (1) action space (1) source task (1) learning speed (1) slate recommendation (1) value decomposition (1) long-term engagement (1) knowledge accumulation (1) customized curriculum (1) temporal difference learning (1) markov decision process (1) user modeling (1)

Papers

Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey JMLR 2020 SlateQ: A Tractable Decomposition for Reinforcement Learning with Recommendation Sets IJCAI 2019 Autonomous Task Sequencing for Customized Curriculum Design in Reinforcement Learning IJCAI 2017 Curriculum Learning in Reinforcement Learning IJCAI 2017