Analogies between structural and systems biology and systems-of-systems engineering in dynamic environments. - Subhodeep Moitra; Naveena Yanamala; Öznur Tastan; Irtisha Singh; Christopher James Langmead; Judith Klein-Seetharaman (SoSE, 2010)

Google Vizier: A Service for Black-Box Optimization. - Daniel Golovin; Benjamin Solnik; Subhodeep Moitra; Greg Kochanski; John Karro; D. Sculley (KDD, 2017)

Dopamine: A Research Framework for Deep Reinforcement Learning. - Pablo Samuel Castro; Subhodeep Moitra; Carles Gelada; Saurabh Kumar 004; Marc G. Bellemare (CoRR, 2018)

Distributional reinforcement learning with linear function approximation. - Marc G. Bellemare; Nicolas Le Roux; Pablo Samuel Castro; Subhodeep Moitra (AISTATS, 2019)

Fast Training of Sparse Graph Neural Networks on Dense Hardware. - Matej Balog; Bart van Merriënboer; Subhodeep Moitra; Yujia Li; Daniel Tarlow (CoRR, 2019)

Learning to Fix Build Errors with Graph2Diff Neural Networks. - Daniel Tarlow; Subhodeep Moitra; Andrew Rice; Zimin Chen; Pierre-Antoine Manzagol; Charles Sutton; Edward Aftandilian (ICSE (Workshops), 2020)

The Hanabi challenge: A new frontier for AI research. - Nolan Bard; Jakob N. Foerster; Sarath Chandar; Neil Burch; Marc Lanctot; H. Francis Song; Emilio Parisotto; Vincent Dumoulin; Subhodeep Moitra; Edward Hughes 001; Iain Dunning; Shibl Mourad; et al. (Artif. Intell., 2020)

Autonomous navigation of stratospheric balloons using reinforcement learning. - Marc G. Bellemare; Salvatore Candido; Pablo Samuel Castro; Jun Gong; Marlos C. Machado; Subhodeep Moitra; Sameera S. Ponda; Ziyu Wang (Nat., 2020)

PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair. - Zimin Chen; Vincent J. Hellendoorn; Pascal Lamblin; Petros Maniatis; Pierre-Antoine Manzagol; Daniel Tarlow; Subhodeep Moitra (NeurIPS, 2021)