Marcin Andrychowicz

According to our database, Marcin Andrychowicz authored at least 33 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Deep Learning for Day Forecasts from Sparse Observations.

Marcin Andrychowicz, Lasse Espeholt, Di Li, Samier Merchant, Alex Merose, Fred Zyda, Shreya Agrawal, Nal Kalchbrenner

CoRR, 2023

2022

Implicitly Regularized RL with Implicit Q-values.

Nino Vieillard, Marcin Andrychowicz, Anton Raichuk, Olivier Pietquin, Matthieu Geist

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Continuous Control With Ensemble Deep Deterministic Policy Gradients.

Piotr Januszewski, Mateusz Olko, Michal Królikowski, Jakub Swiatkowski, Marcin Andrychowicz, Lukasz Kucinski, Piotr Milos

CoRR, 2021

What Matters for Adversarial Imitation Learning?

Manu Orsini, Anton Raichuk, Léonard Hussenot, Damien Vincent, Robert Dadashi, Sertan Girgin, Matthieu Geist, Olivier Bachem, Olivier Pietquin, Marcin Andrychowicz

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Hyperparameter Selection for Imitation Learning.

Léonard Hussenot, Marcin Andrychowicz, Damien Vincent, Robert Dadashi, Anton Raichuk, Sabela Ramos, Nikola Momchev, Sertan Girgin, Raphaël Marinier, Lukasz Stafiniak, Manu Orsini, Olivier Bachem, Matthieu Geist, Olivier Pietquin

Proceedings of the 38th International Conference on Machine Learning, 2021

What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study.

Marcin Andrychowicz, Anton Raichuk, Piotr Stanczyk, Manu Orsini, Sertan Girgin, Raphaël Marinier, Léonard Hussenot, Matthieu Geist, Olivier Pietquin, Marcin Michalski, Sylvain Gelly, Olivier Bachem

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Learning dexterous in-hand manipulation.

Marcin Andrychowicz, Bowen Baker, Maciek Chociej, Rafal Józefowicz, Bob McGrew, Jakub Pachocki, Arthur Petron, Matthias Plappert, Glenn Powell, Alex Ray, Jonas Schneider, Szymon Sidor, Josh Tobin, Peter Welinder, Lilian Weng, Wojciech Zaremba

Int. J. Robotics Res., 2020

What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study.

Marcin Andrychowicz, Anton Raichuk, Piotr Stanczyk, Manu Orsini, Sertan Girgin, Raphaël Marinier, Léonard Hussenot, Matthieu Geist, Olivier Pietquin, Marcin Michalski, Sylvain Gelly, Olivier Bachem

CoRR, 2020

2019

Solving Rubik's Cube with a Robot Hand.

OpenAI, Ilge Akkaya, Marcin Andrychowicz, Maciek Chociej, Mateusz Litwin, Bob McGrew, Arthur Petron, Alex Paino, Matthias Plappert, Glenn Powell, Raphael Ribas, Jonas Schneider, Nikolas Tezak, Jerry Tworek, Peter Welinder, Lilian Weng, Qiming Yuan, Wojciech Zaremba, Lei Zhang

CoRR, 2019

2018

Learning Dexterous In-Hand Manipulation.

OpenAI, Marcin Andrychowicz, Bowen Baker, Maciek Chociej, Rafal Józefowicz, Bob McGrew, Jakub Pachocki, Arthur Petron, Matthias Plappert, Glenn Powell, Alex Ray, Jonas Schneider, Szymon Sidor, Josh Tobin, Peter Welinder, Lilian Weng, Wojciech Zaremba

CoRR, 2018

Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research.

Matthias Plappert, Marcin Andrychowicz, Alex Ray, Bob McGrew, Bowen Baker, Glenn Powell, Jonas Schneider, Josh Tobin, Maciek Chociej, Peter Welinder, Vikash Kumar, Wojciech Zaremba

CoRR, 2018

Asymmetric Actor Critic for Image-Based Robot Learning.

Lerrel Pinto, Marcin Andrychowicz, Peter Welinder, Wojciech Zaremba, Pieter Abbeel

Proceedings of the Robotics: Science and Systems XIV, 2018

Domain Randomization and Generative Models for Robotic Grasping.

Josh Tobin, Lukas Biewald, Rocky Duan, Marcin Andrychowicz, Ankur Handa, Vikash Kumar, Bob McGrew, Alex Ray, Jonas Schneider, Peter Welinder, Wojciech Zaremba, Pieter Abbeel

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Sim-to-Real Transfer of Robotic Control with Dynamics Randomization.

Xue Bin Peng, Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Overcoming Exploration in Reinforcement Learning with Demonstrations.

Ashvin Nair, Bob McGrew, Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Parameter Space Noise for Exploration.

Matthias Plappert, Rein Houthooft, Prafulla Dhariwal, Szymon Sidor, Richard Y. Chen, Xi Chen, Tamim Asfour, Pieter Abbeel, Marcin Andrychowicz

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Hindsight Experience Replay.

Marcin Andrychowicz, Filip Wolski, Alex Ray, Jonas Schneider, Rachel Fong, Peter Welinder, Bob McGrew, Josh Tobin, Pieter Abbeel, Wojciech Zaremba

CoRR, 2017

One-Shot Imitation Learning.

Yan Duan, Marcin Andrychowicz, Bradly C. Stadie, Jonathan Ho, Jonas Schneider, Ilya Sutskever, Pieter Abbeel, Wojciech Zaremba

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Hindsight Experience Replay.

Marcin Andrychowicz, Dwight Crow, Alex Ray, Jonas Schneider, Rachel Fong, Peter Welinder, Bob McGrew, Josh Tobin, Pieter Abbeel, Wojciech Zaremba

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Circuit Compilers with O(1/ log(n)) Leakage Rate.

Marcin Andrychowicz, Stefan Dziembowski, Sebastian Faust

IACR Cryptol. ePrint Arch., 2016

Neural Random Access Machines.

Karol Kurach, Marcin Andrychowicz, Ilya Sutskever

ERCIM News, 2016

Learning Efficient Algorithms with Hierarchical Attentive Memory.

Marcin Andrychowicz, Karol Kurach

CoRR, 2016

Secure multiparty computations on Bitcoin.

Marcin Andrychowicz, Stefan Dziembowski, Daniel Malinowski, Lukasz Mazurek

Commun. ACM, 2016

Learning to learn by gradient descent by gradient descent.

Marcin Andrychowicz, Misha Denil, Sergio Gomez Colmenarejo, Matthew W. Hoffman, David Pfau, Tom Schaul, Nando de Freitas

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Leakage-Resilient Cryptography over Large Finite Fields: Theory and Practice.

Marcin Andrychowicz, Daniel Masny, Edoardo Persichetti

IACR Cryptol. ePrint Arch., 2015

On the Malleability of Bitcoin Transactions.

Marcin Andrychowicz, Stefan Dziembowski, Daniel Malinowski, Lukasz Mazurek

Proceedings of the Financial Cryptography and Data Security, 2015

Efficient Leakage Resilient Circuit Compilers.

Marcin Andrychowicz, Ivan Damgård, Stefan Dziembowski, Sebastian Faust, Antigoni Polychroniadou

Proceedings of the Topics in Cryptology, 2015

PoW-Based Distributed Cryptography with No Trusted Setup.

Marcin Andrychowicz, Stefan Dziembowski

Proceedings of the Advances in Cryptology - CRYPTO 2015, 2015

2014

Distributed Cryptography Based on the Proofs of Work.

Marcin Andrychowicz, Stefan Dziembowski

IACR Cryptol. ePrint Arch., 2014

Modeling Bitcoin Contracts by Timed Automata.

Marcin Andrychowicz, Stefan Dziembowski, Daniel Malinowski, Lukasz Mazurek

Proceedings of the Formal Modeling and Analysis of Timed Systems, 2014

2013

Fair Two-Party Computations via the BitCoin Deposits.

Marcin Andrychowicz, Stefan Dziembowski, Daniel Malinowski, Lukasz Mazurek

IACR Cryptol. ePrint Arch., 2013

How to deal with malleability of BitCoin transactions.

Marcin Andrychowicz, Stefan Dziembowski, Daniel Malinowski, Lukasz Mazurek

CoRR, 2013

2012

Efficient Refreshing Protocol for Leakage-Resilient Storage Based on the Inner-Product Extractor

Marcin Andrychowicz

CoRR, 2012