Victor Bapst

Publication Activity (10 Years)

Years Active: 2012-2021
Publications (10 Years): 24

Top Topics

Reinforcement Learning

Phase Transition

Bethe Free Energy

Top Venues

Comb. Probab. Comput.

Publications

Skanda Koppula, Victor Bapst, Marc Huertas-Company, Sam Blackwell, Agnieszka Grabska-Barwinska, Sander Dieleman, Andrea Huber, Natasha Antropova, Mikolaj Binkowski, Hannah Openshaw, Adrià Recasens, Fernando Caro, Avishai Deke, Yohan Dubois, Jesus Vega Ferrero, David C. Koo, Joel R. Primack, Trevor Back
A Deep Learning Approach for Characterizing Major Galaxy Mergers. CoRR (2021)
Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Tobias Pfaff, Theophane Weber, Lars Buesing, Peter W. Battaglia
Combining Q-Learning and Search with Amortized Value Estimates. ICLR (2020)
Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch, Kimberly L. Stachenfeld, Pushmeet Kohli, Peter W. Battaglia, Jessica B. Hamrick
Structured agents for physical construction. CoRR (2019)
Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch, Kimberly L. Stachenfeld, Pushmeet Kohli, Peter W. Battaglia, Jessica B. Hamrick
Structured agents for physical construction. ICML (2019)
Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Tobias Pfaff, Theophane Weber, Lars Buesing, Peter W. Battaglia
Combining Q-Learning and Search with Amortized Value Estimates. CoRR (2019)
Victor Bapst, Alvaro Sanchez-Gonzalez, Omar Shams, Kimberly L. Stachenfeld, Peter W. Battaglia, Satinder Singh, Jessica B. Hamrick
Object-oriented state editing for HRL. CoRR (2019)
Vinícius Flores Zambaldi, David Raposo, Adam Santoro, Victor Bapst, Yujia Li, Igor Babuschkin, Karl Tuyls, David P. Reichert, Timothy P. Lillicrap, Edward Lockhart, Murray Shanahan, Victoria Langston, Razvan Pascanu, Matthew Botvinick, Oriol Vinyals, Peter W. Battaglia
Deep reinforcement learning with relational inductive biases. ICLR (Poster) (2019)
Çaglar Gülçehre, Misha Denil, Mateusz Malinowski, Ali Razavi, Razvan Pascanu, Karl Moritz Hermann, Peter W. Battaglia, Victor Bapst, David Raposo, Adam Santoro, Nando de Freitas
Hyperbolic Attention Networks. ICLR (Poster) (2019)
Alvaro Sanchez-Gonzalez, Victor Bapst, Kyle Cranmer, Peter W. Battaglia
Hamiltonian Graph Networks with ODE Integrators. CoRR (2019)
Vinícius Flores Zambaldi, David Raposo, Adam Santoro, Victor Bapst, Yujia Li, Igor Babuschkin, Karl Tuyls, David P. Reichert, Timothy P. Lillicrap, Edward Lockhart, Murray Shanahan, Victoria Langston, Razvan Pascanu, Matthew Botvinick, Oriol Vinyals, Peter W. Battaglia
Relational Deep Reinforcement Learning. CoRR (2018)
Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Vinícius Flores Zambaldi, Mateusz Malinowski, Andrea Tacchetti, David Raposo, Adam Santoro, Ryan Faulkner, Çaglar Gülçehre, H. Francis Song, Andrew J. Ballard, Justin Gilmer, George E. Dahl, Ashish Vaswani, Kelsey R. Allen, Charles Nash, Victoria Langston, Chris Dyer, Nicolas Heess, Daan Wierstra, Pushmeet Kohli, Matthew Botvinick, Oriol Vinyals, Yujia Li, Razvan Pascanu
Relational inductive biases, deep learning, and graph networks. CoRR (2018)
Çaglar Gülçehre, Misha Denil, Mateusz Malinowski, Ali Razavi, Razvan Pascanu, Karl Moritz Hermann, Peter W. Battaglia, Victor Bapst, David Raposo, Adam Santoro, Nando de Freitas
Hyperbolic Attention Networks. CoRR (2018)
Jessica B. Hamrick, Kelsey R. Allen, Victor Bapst, Tina Zhu, Kevin R. McKee, Joshua B. Tenenbaum, Peter W. Battaglia
Relational inductive bias for physical construction in humans and machines. CoRR (2018)
Jessica B. Hamrick, Kelsey R. Allen, Victor Bapst, Tina Zhu, Kevin R. McKee, Josh Tenenbaum, Peter W. Battaglia
Relational inductive bias for physical construction in humans and machines. CogSci (2018)
Yee Whye Teh, Victor Bapst, Wojciech Marian Czarnecki, John Quan, James Kirkpatrick, Raia Hadsell, Nicolas Heess, Razvan Pascanu
Distral: Robust Multitask Reinforcement Learning. CoRR (2017)
Ziyu Wang, Victor Bapst, Nicolas Heess, Volodymyr Mnih, Rémi Munos, Koray Kavukcuoglu, Nando de Freitas
Sample Efficient Actor-Critic with Experience Replay. ICLR (Poster) (2017)
Victor Bapst, Amin Coja-Oghlan, Charilaos Efthymiou
Planting Colourings Silently. Comb. Probab. Comput. 26 (3) (2017)
Yee Whye Teh, Victor Bapst, Wojciech M. Czarnecki, John Quan, James Kirkpatrick, Raia Hadsell, Nicolas Heess, Razvan Pascanu
Distral: Robust multitask reinforcement learning. NIPS (2017)
Victor Bapst, Amin Coja-Oghlan
Harnessing the Bethe free energy. Random Struct. Algorithms 49 (4) (2016)
Ziyu Wang, Victor Bapst, Nicolas Heess, Volodymyr Mnih, Rémi Munos, Koray Kavukcuoglu, Nando de Freitas
Sample Efficient Actor-Critic with Experience Replay. CoRR (2016)
Victor Bapst, Amin Coja-Oghlan
The Condensation Phase Transition in the Regular k-SAT Model. APPROX-RANDOM (2016)
Victor Bapst, Amin Coja-Oghlan
The condensation phase transition in the regular k-SAT model. CoRR (2015)
Victor Bapst, Amin Coja-Oghlan
Harnessing the Bethe Free Energy. APPROX-RANDOM (2015)
Victor Bapst, Amin Coja-Oghlan
Harnessing the Bethe free energy. CoRR (2015)
Victor Bapst, Amin Coja-Oghlan, Felicia Raßmann
A positive temperature phase transition in random hypergraph 2-coloring. CoRR (2014)
Victor Bapst, Amin Coja-Oghlan, Samuel Hetterich, Felicia Raßmann, Dan Vilenchik
The Condensation Phase Transition in Random Graph Coloring. APPROX-RANDOM (2014)
Victor Bapst, Amin Coja-Oghlan, Charilaos Efthymiou
Planting colourings silently. CoRR (2014)
Victor Bapst, Amin Coja-Oghlan, Samuel Hetterich, Felicia Raßmann, Dan Vilenchik
The condensation phase transition in random graph coloring. CoRR (2014)
Victor Bapst, Guilhem Semerjian, Francesco Zamponi
The effect of quantum fluctuations on the coloring of random graphs CoRR (2013)
Victor Bapst, Laura Foini, Florent Krzakala, Guilhem Semerjian, Francesco Zamponi
The Quantum Adiabatic Algorithm applied to random optimization problems: the quantum spin glass perspective CoRR (2012)