Andrei A. Rusu

发表

Policy Distillation pdf

Razvan Pascanu, Sergio Gomez Colmenarejo, Raia Hadsell, 2015, ICLR.

Meta-learning by the Baldwin effect

Tom Schaul, Simon Osindero, Chrisantha Fernando, 2018, GECCO.

PathNet: Evolution Channels Gradient Descent in Super Neural Networks pdf

Chrisantha Fernando, Daan Wierstra, Charles Blundell, 2017, ArXiv.

Progressive Neural Networks pdf

Razvan Pascanu, Raia Hadsell, Koray Kavukcuoglu, 2016, ArXiv.

Sim-to-Real Robot Learning from Pixels with Progressive Nets pdf

Razvan Pascanu, Raia Hadsell, Nicolas Heess, 2016, CoRL.

HyperNEAT for Locomotion Control in Modular Robots

A. E. Eiben, Evert Haasdijk, Andrei A. Rusu, 2010, ICES.

Meta-Learning with Warped Gradient Descent pdf

Razvan Pascanu, Raia Hadsell, Hujun Yin, 2020, ICLR.

Meta-learning by the Baldwin effect

Tom Schaul, Simon Osindero, Chrisantha Fernando, 2018, GECCO.

Reinforcement and Imitation Learning for Diverse Visuomotor Skills pdf

Nando de Freitas, Raia Hadsell, Yuke Zhu, 2018, Robotics: Science and Systems.

Task Agnostic Continual Learning via Meta Learning pdf

Yee Whye Teh, Razvan Pascanu, Xu He, 2019, ArXiv.

DARLA: Improving Zero-Shot Transfer in Reinforcement Learning pdf

Christopher Burgess, Charles Blundell, Alexander Pritzel, 2017, ICML.

Overcoming catastrophic forgetting in neural networks

Razvan Pascanu, Raia Hadsell, Joel Veness, 2016, Proceedings of the National Academy of Sciences.

Continual Unsupervised Representation Learning

Yee Whye Teh, Razvan Pascanu, Raia Hadsell, 2019, NeurIPS.

Meta-Learning with Latent Embedding Optimization pdf

Razvan Pascanu, Raia Hadsell, Simon Osindero, 2018, ICLR.

Human-level control through deep reinforcement learning

Shane Legg, Alex Graves, Marc G. Bellemare, 2015, Nature.

Neural scene representation and rendering

Koray Kavukcuoglu, Daan Wierstra, Karol Gregor, 2018, Science.

Embracing Change: Continual Learning in Deep Neural Networks

Andrei A. Rusu, R. Hadsell, Razvan Pascanu, 2020, Trends in Cognitive Sciences.

Reply to Huszár: The elastic weight consolidation penalty is empirically valid

Andrei A. Rusu, Neil C. Rabinowitz, D. Hassabis, 2018, Proceedings of the National Academy of Sciences.

Imagine all the people: how the brain creates and uses personality models to predict behavior.

Demis Hassabis, Raymond A Mar, R Nathan Spreng, 2014, Cerebral cortex.

Probing Transfer in Deep Reinforcement Learning without Task Engineering

Andrei A. Rusu, R. Hadsell, Razvan Pascanu, 2022, CoLLAs.

NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research

Diego de Las Casas, Andrei A. Rusu, Marc'Aurelio Ranzato, 2022, ArXiv.

Meta-Learning with Warped Gradient Descent

Andrei A. Rusu, R. Hadsell, Razvan Pascanu, 2019, ICLR.

Embracing Change: Continual Learning in Deep Neural Networks

Andrei A. Rusu, R. Hadsell, Razvan Pascanu, 2020, Trends in Cognitive Sciences.

NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research

Diego de Las Casas, Andrei A. Rusu, Marc'Aurelio Ranzato, 2022, ArXiv.

Overcoming catastrophic forgetting in neural networks

Andrei A. Rusu, Neil C. Rabinowitz, D. Hassabis, 2016, Proceedings of the National Academy of Sciences.

Power Norm Based Lifelong Learning for Paraphrase Generations

Andrei A. Rusu, Neil C. Rabinowitz, J. Veness, 2021 .

Hindering Adversarial Attacks with Implicit Neural Representations

Andrei A. Rusu, R. Hadsell, Sven Gowal, 2022, ICML.

Prospective Learning: Principled Extrapolation to the Future

Elizabeth L. Ogburn, Adam S. Charles, Justus M. Kebschull, 2022, 2201.07372.

Human-level control through deep reinforcement learning

Marc G. Bellemare, Martin A. Riedmiller, Andrei A. Rusu, 2015, Nature.

DiLoCo: Distributed Low-Communication Training of Language Models

Andrei A. Rusu, Marc'Aurelio Ranzato, A. Kuncoro, 2023, ArXiv.