Wojciech Zaremba

According to our database1, Wojciech Zaremba authored at least 43 papers between 2008 and 2018.

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Bibliography

2018
Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research.
CoRR, 2018

Sim-to-Real Transfer of Robotic Control with Dynamics Randomization.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Overcoming Exploration in Reinforcement Learning with Demonstrations.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017
Asymmetric Actor Critic for Image-Based Robot Learning.
CoRR, 2017

Sim-to-Real Transfer of Robotic Control with Dynamics Randomization.
CoRR, 2017

Domain Randomization and Generative Models for Robotic Grasping.
CoRR, 2017

Overcoming Exploration in Reinforcement Learning with Demonstrations.
CoRR, 2017

Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World.
CoRR, 2017

One-Shot Imitation Learning.
CoRR, 2017

Hindsight Experience Replay.
CoRR, 2017

One-Shot Imitation Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

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

Domain randomization for transferring deep neural networks from simulation to the real world.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2016
Improved Techniques for Training GANs.
CoRR, 2016

Extensions and Limitations of the Neural GPU.
CoRR, 2016

Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model.
CoRR, 2016

OpenAI Gym.
CoRR, 2016

Discriminative training of CRF models with probably submodular constraints.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Improved Techniques for Training GANs.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Learning Simple Algorithms from Examples.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Reinforcement Learning Neural Turing Machines.
CoRR, 2015

Learning Simple Algorithms from Examples.
CoRR, 2015

Sequence Level Training with Recurrent Neural Networks.
CoRR, 2015

Scale-invariant learning and convolutional networks.
CoRR, 2015

An Empirical Exploration of Recurrent Network Architectures.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Deep Neural Networks Predict Category Typicality Ratings for Images.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Addressing the Rare Word Problem in Neural Machine Translation.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Recurrent Neural Network Regularization.
CoRR, 2014

Learning to Execute.
CoRR, 2014

Learning to Discover Efficient Mathematical Identities.
CoRR, 2014

Addressing the Rare Word Problem in Neural Machine Translation.
CoRR, 2014

Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation.
CoRR, 2014

Learning to Discover Efficient Mathematical Identities.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013
B-test: A Non-parametric, Low Variance Kernel Two-sample Test.
CoRR, 2013

Intriguing properties of neural networks.
CoRR, 2013

Spectral Networks and Locally Connected Networks on Graphs.
CoRR, 2013

Taxonomic Prediction with Tree-Structured Covariances.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

B-test: A Non-parametric, Low Variance Kernel Two-sample Test.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Learning from M/EEG Data with Variable Brain Activation Delays.
Proceedings of the Information Processing in Medical Imaging, 2013

2012
JaBEE: framework for object-oriented Java bytecode compilation and execution on graphics processor units.
Proceedings of the 5th Annual Workshop on General Purpose Processing with Graphics Processing Units, 2012

Modeling the variability of EEG/MEG data through statistical machine learning.
, 2012

2008
Extending web applications with a lightweight zero knowledge proof authentication.
Proceedings of the CSTST 2008: Proceedings of the 5th International Conference on Soft Computing as Transdisciplinary Science and Technology, 2008


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