Efficient Refreshing Protocol for Leakage-Resilient Storage Based on the Inner-Product Extractor - Marcin Andrychowicz (CoRR, 2012)

How to deal with malleability of BitCoin transactions. - Marcin Andrychowicz; Stefan Dziembowski; Daniel Malinowski; Lukasz Mazurek (CoRR, 2013)

Fair Two-Party Computations via the BitCoin Deposits. - Marcin Andrychowicz; Stefan Dziembowski; Daniel Malinowski; Lukasz Mazurek (IACR Cryptol. ePrint Arch., 2013)

Modeling Bitcoin Contracts by Timed Automata. - Marcin Andrychowicz; Stefan Dziembowski; Daniel Malinowski; Lukasz Mazurek (FORMATS, 2014)

Distributed Cryptography Based on the Proofs of Work. - Marcin Andrychowicz; Stefan Dziembowski (IACR Cryptol. ePrint Arch., 2014)

PoW-Based Distributed Cryptography with No Trusted Setup. - Marcin Andrychowicz; Stefan Dziembowski (CRYPTO (2), 2015)

Efficient Leakage Resilient Circuit Compilers. - Marcin Andrychowicz; Ivan Damgård; Stefan Dziembowski; Sebastian Faust; Antigoni Polychroniadou (CT-RSA, 2015)

On the Malleability of Bitcoin Transactions. - Marcin Andrychowicz; Stefan Dziembowski; Daniel Malinowski; Lukasz Mazurek (Financial Cryptography Workshops, 2015)

Leakage-Resilient Cryptography over Large Finite Fields: Theory and Practice. - Marcin Andrychowicz; Daniel Masny; Edoardo Persichetti (IACR Cryptol. ePrint Arch., 2015)

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 (NIPS, 2016)

Secure multiparty computations on Bitcoin. - Marcin Andrychowicz; Stefan Dziembowski; Daniel Malinowski; Lukasz Mazurek (Commun. ACM, 2016)

Learning Efficient Algorithms with Hierarchical Attentive Memory. - Marcin Andrychowicz; Karol Kurach (CoRR, 2016)

Neural Random Access Machines. - Karol Kurach; Marcin Andrychowicz; Ilya Sutskever (ERCIM News, 2016)

Circuit Compilers with O(1/ log(n)) Leakage Rate. - Marcin Andrychowicz; Stefan Dziembowski; Sebastian Faust (IACR Cryptol. ePrint Arch., 2016)

Hindsight Experience Replay. - Marcin Andrychowicz; Dwight Crow; Alex Ray; Jonas Schneider 002; Rachel Fong; Peter Welinder; Bob McGrew; Josh Tobin; Pieter Abbeel; Wojciech Zaremba (NIPS, 2017)

One-Shot Imitation Learning. - Yan Duan; Marcin Andrychowicz; Bradly C. Stadie; Jonathan Ho; Jonas Schneider 002; Ilya Sutskever; Pieter Abbeel; Wojciech Zaremba (NIPS, 2017)

Hindsight Experience Replay. - Marcin Andrychowicz; Filip Wolski; Alex Ray; Jonas Schneider 002; Rachel Fong; Peter Welinder; Bob McGrew; Josh Tobin; Pieter Abbeel; Wojciech Zaremba (CoRR, 2017)

Parameter Space Noise for Exploration. - Matthias Plappert; Rein Houthooft; Prafulla Dhariwal; Szymon Sidor; Richard Y. Chen; Xi Chen 022; Tamim Asfour; Pieter Abbeel; Marcin Andrychowicz (ICLR (Poster), 2018)

Overcoming Exploration in Reinforcement Learning with Demonstrations. - Ashvin Nair; Bob McGrew; Marcin Andrychowicz; Wojciech Zaremba; Pieter Abbeel (ICRA, 2018)

Sim-to-Real Transfer of Robotic Control with Dynamics Randomization. - Xue Bin Peng; Marcin Andrychowicz; Wojciech Zaremba; Pieter Abbeel (ICRA, 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 002; Peter Welinder; Wojciech Zaremba; Pieter Abbeel (IROS, 2018)

Asymmetric Actor Critic for Image-Based Robot Learning. - Lerrel Pinto; Marcin Andrychowicz; Peter Welinder; Wojciech Zaremba; Pieter Abbeel (Robotics: Science and Systems, 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 002; Josh Tobin; Maciek Chociej; Peter Welinder; Vikash Kumar; Wojciech Zaremba (CoRR, 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 002; et al. (CoRR, 2018)

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 002; et al. (CoRR, 2019)

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)

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 002; Szymon Sidor; et al. (Int. J. Robotics Res., 2020)

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 (ICLR, 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; et al. (ICML, 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 (NeurIPS, 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)

Implicitly Regularized RL with Implicit Q-values. - Nino Vieillard; Marcin Andrychowicz; Anton Raichuk; Olivier Pietquin; Matthieu Geist (AISTATS, 2022)

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)