Raia Hadsell

According to our database1, Raia Hadsell authored at least 76 papers between 2003 and 2023.

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Bibliography

2023
Learning to Look by Self-Prediction.
Trans. Mach. Learn. Res., 2023

RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation.
CoRR, 2023

RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation.
CoRR, 2023

Barkour: Benchmarking Animal-level Agility with Quadruped Robots.
CoRR, 2023

Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning.
CoRR, 2023

2022
A Generalist Agent.
Trans. Mach. Learn. Res., 2022

Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors.
CoRR, 2022

Reasoning-Modulated Representations.
Proceedings of the Learning on Graphs Conference, 2022

Few-Shot Keypoint Detection as Task Adaptation via Latent Embeddings.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

The CLRS Algorithmic Reasoning Benchmark.
Proceedings of the International Conference on Machine Learning, 2022

Hindering Adversarial Attacks with Implicit Neural Representations.
Proceedings of the International Conference on Machine Learning, 2022

Learning transferable motor skills with hierarchical latent mixture policies.
Proceedings of the Tenth International Conference on Learning Representations, 2022

MO2: Model-Based Offline Options.
Proceedings of the Conference on Lifelong Learning Agents, 2022

Probing Transfer in Deep Reinforcement Learning without Task Engineering.
Proceedings of the Conference on Lifelong Learning Agents, 2022

2021
Skilful precipitation nowcasting using deep generative models of radar.
Nat., 2021

Optical Tactile Sim-to-Real Policy Transfer via Real-to-Sim Tactile Image Translation.
CoRR, 2021

On Multi-objective Policy Optimization as a Tool for Reinforcement Learning.
CoRR, 2021

Skillful Precipitation Nowcasting using Deep Generative Models of Radar.
CoRR, 2021


A Constrained Multi-Objective Reinforcement Learning Framework.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Tactile Sim-to-Real Policy Transfer via Real-to-Sim Image Translation.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Deep Reinforcement Learning for Tactile Robotics: Learning to Type on a Braille Keyboard.
IEEE Robotics Autom. Lett., 2020

S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency.
CoRR, 2020

Stabilizing Transformers for Reinforcement Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020

CoMic: Complementary Task Learning & Mimicry for Reusable Skills.
Proceedings of the 37th International Conference on Machine Learning, 2020

A distributional view on multi-objective policy optimization.
Proceedings of the 37th International Conference on Machine Learning, 2020

Neural Execution of Graph Algorithms.
Proceedings of the 8th International Conference on Learning Representations, 2020

Meta-Learning with Warped Gradient Descent.
Proceedings of the 8th International Conference on Learning Representations, 2020

Learning rich touch representations through cross-modal self-supervision.
Proceedings of the 4th Conference on Robot Learning, 2020

S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency.
Proceedings of the 4th Conference on Robot Learning, 2020

Attention-Privileged Reinforcement Learning.
Proceedings of the 4th Conference on Robot Learning, 2020

Learning to Follow Directions in Street View.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
From Pixels to Percepts: Highly Robust Edge Perception and Contour Following Using Deep Learning and an Optical Biomimetic Tactile Sensor.
IEEE Robotics Autom. Lett., 2019

Disentangled Cumulants Help Successor Representations Transfer to New Tasks.
CoRR, 2019

Attention Privileged Reinforcement Learning For Domain Transfer.
CoRR, 2019

Meta-Learning with Warped Gradient Descent.
CoRR, 2019

Learning Gentle Object Manipulation with Curiosity-Driven Deep Reinforcement Learning.
CoRR, 2019

The StreetLearn Environment and Dataset.
CoRR, 2019

Value constrained model-free continuous control.
CoRR, 2019

Continual Unsupervised Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

NeurIPS 2019 Competition and Demonstration Track Revised selected papers.
Proceedings of the NeurIPS 2019 Competition and Demonstration Track, 2019

Meta-Learning with Latent Embedding Optimization.
Proceedings of the 7th International Conference on Learning Representations, 2019

Challenges for learning in complex environments.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Vector-based navigation using grid-like representations in artificial agents.
Nat., 2018

The limits and potentials of deep learning for robotics.
Int. J. Robotics Res., 2018

Reinforcement and Imitation Learning for Diverse Visuomotor Skills.
Proceedings of the Robotics: Science and Systems XIV, 2018

Learning to Navigate in Cities Without a Map.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Progress & Compress: A scalable framework for continual learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

Graph Networks as Learnable Physics Engines for Inference and Control.
Proceedings of the 35th International Conference on Machine Learning, 2018

Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017
One-Shot Reinforcement Learning for Robot Navigation with Interactive Replay.
CoRR, 2017

Distral: Robust multitask reinforcement learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning to Navigate in Complex Environments.
Proceedings of the 5th International Conference on Learning Representations, 2017

Sim-to-Real Robot Learning from Pixels with Progressive Nets.
Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

2016
Progressive Neural Networks.
CoRR, 2016

Policy Distillation.
Proceedings of the 4th International Conference on Learning Representations, 2016

Overcoming catastrophic forgetting in neural networks.
CoRR, 2016

2012
Multi-modal pedestrian detection on the move.
Proceedings of the 2012 IEEE International Conference on Technologies for Practical Robot Applications, 2012

Long-Range Pedestrian Detection using stereo and a cascade of convolutional network classifiers.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Detecting leadership and cohesion in spoken interactions.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Unsupervised topic modeling for leader detection in spoken discourse.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Complex Terrain Mapping with Multi-camera Visual Odometry and Realtime Drift Correction.
Proceedings of the 2012 Second International Conference on 3D Imaging, 2012

2011
High-precision localization using visual landmarks fused with range data.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Space-carving Kernels for Accurate Rough Terrain Estimation.
Int. J. Robotics Res., 2010

2009
A multirange architecture for collision-free off-road robot navigation.
J. Field Robotics, 2009

Learning long-range vision for autonomous off-road driving.
J. Field Robotics, 2009

Accurate rough terrain estimation with space-carving kernels.
Proceedings of the Robotics: Science and Systems V, University of Washington, Seattle, USA, June 28, 2009

2008
Learning Long-Range Vision for an Offroad Robot.
PhD thesis, 2008

Mapping and planning under uncertainty in mobile robots with long-range perception.
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

Deep belief net learning in a long-range vision system for autonomous off-road driving.
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

2007
Online Learning for Offroad Robots: Spatial Label Propagation to Learn Long-Range Traversability.
Proceedings of the Robotics: Science and Systems III, 2007

Adaptive long range vision in unstructured terrain.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

2006
Dimensionality Reduction by Learning an Invariant Mapping.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
Learning a Similarity Metric Discriminatively, with Application to Face Verification.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2003
Improved global routing through congestion estimation.
Proceedings of the 40th Design Automation Conference, 2003


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