Subhodeep Moitra

Publication Activity (10 Years)

Years Active: 2010-2021
Publications (10 Years): 11

Top Topics

Temporal Difference Learning Algorithms

Reinforcement Learning

Function Approximation

Top Venues

Publications

Zimin Chen, Vincent J. Hellendoorn, Pascal Lamblin, Petros Maniatis, Pierre-Antoine Manzagol, Daniel Tarlow, Subhodeep Moitra
PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair. NeurIPS (2021)
Nolan Bard, Jakob N. Foerster, Sarath Chandar, Neil Burch, Marc Lanctot, H. Francis Song, Emilio Parisotto, Vincent Dumoulin, Subhodeep Moitra, Edward Hughes, Iain Dunning, Shibl Mourad, Hugo Larochelle, Marc G. Bellemare, Michael Bowling
The Hanabi challenge: A new frontier for AI research. Artif. Intell. 280 (2020)
Marc G. Bellemare, Salvatore Candido, Pablo Samuel Castro, Jun Gong, Marlos C. Machado, Subhodeep Moitra, Sameera S. Ponda, Ziyu Wang
Autonomous navigation of stratospheric balloons using reinforcement learning. Nat. 588 (7836) (2020)
Daniel Tarlow, Subhodeep Moitra, Andrew Rice, Zimin Chen, Pierre-Antoine Manzagol, Charles Sutton, Edward Aftandilian
Learning to Fix Build Errors with Graph2Diff Neural Networks. ICSE (Workshops) (2020)
Nolan Bard, Jakob N. Foerster, Sarath Chandar, Neil Burch, Marc Lanctot, H. Francis Song, Emilio Parisotto, Vincent Dumoulin, Subhodeep Moitra, Edward Hughes, Iain Dunning, Shibl Mourad, Hugo Larochelle, Marc G. Bellemare, Michael Bowling
The Hanabi Challenge: A New Frontier for AI Research. CoRR (2019)
Daniel Tarlow, Subhodeep Moitra, Andrew Rice, Zimin Chen, Pierre-Antoine Manzagol, Charles Sutton, Edward Aftandilian
Learning to Fix Build Errors with Graph2Diff Neural Networks. CoRR (2019)
Marc G. Bellemare, Nicolas Le Roux, Pablo Samuel Castro, Subhodeep Moitra
Distributional reinforcement learning with linear function approximation. AISTATS (2019)
Matej Balog, Bart van Merriënboer, Subhodeep Moitra, Yujia Li, Daniel Tarlow
Fast Training of Sparse Graph Neural Networks on Dense Hardware. CoRR (2019)
Marc G. Bellemare, Nicolas Le Roux, Pablo Samuel Castro, Subhodeep Moitra
Distributional reinforcement learning with linear function approximation. CoRR (2019)
Pablo Samuel Castro, Subhodeep Moitra, Carles Gelada, Saurabh Kumar, Marc G. Bellemare
Dopamine: A Research Framework for Deep Reinforcement Learning. CoRR (2018)
Daniel Golovin, Benjamin Solnik, Subhodeep Moitra, Greg Kochanski, John Karro, D. Sculley
Google Vizier: A Service for Black-Box Optimization. KDD (2017)
Subhodeep Moitra, Naveena Yanamala, Oznur Tastan, Irtisha Singh, Christopher James Langmead, Judith Klein-Seetharaman
Analogies between structural and systems biology and systems-of-systems engineering in dynamic environments. SoSE (2010)