← Authors

Raia Hadsell

26 papers · 2007–2022 · 7 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (15) 🌈 Renaissance Researcher (5) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (12) πŸ—ΊοΈ Taxonomy Completionist (14) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (4) πŸ‘₯ Mega-Team (21) πŸ† Grand Slam πŸ’Ž Century Club (26) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter ⚑ Prolific Year (9) πŸ”₯ Unstoppable (6) πŸ—ƒοΈ Keyword Collector (105)

Conferences

CORL (8) ICML (7) ICLR (4) NIPS (3) RSS (2) AAAI (1) CVPR (1)

Top co-authors

Nicolas Heess (9) Razvan Pascanu (8) Dushyant Rao (4) Martin Riedmiller (4) Josh Merel (4) Leonard Hasenclever (3) Piotr Mirowski (3) Martina Zambelli (3) Andrei A. Rusu (3) Michael Neunert (3)

Keywords

reinforcement learning (9) deep reinforcement learning (6) sim-to-real transfer (3) representation learning (3) robotic manipulation (3) domain randomization (3) transfer learning (3) continual learning (2) self-supervised learning (2) image translation (2) tactile sensing (2) knowledge distillation (2) visual navigation (2) imitation learning (2) street view (2) online learning (1) offline reinforcement learning (1) adversarial robustness (1) transformer architecture (1) multi-task learning (1)

Papers

Hindering Adversarial Attacks with Implicit Neural Representations ICML 2022
The CLRS Algorithmic Reasoning Benchmark ICML 2022
Learning transferable motor skills with hierarchical latent mixture policies ICLR 2022
Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes CORL 2021
A Constrained Multi-Objective Reinforcement Learning Framework CORL 2021
Tactile Sim-to-Real Policy Transfer via Real-to-Sim Image Translation CORL 2021
S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency CORL 2020
Learning rich touch representations through cross-modal self-supervision CORL 2020
CoMic: Complementary Task Learning & Mimicry for Reusable Skills ICML 2020
Neural Execution of Graph Algorithms ICLR 2020
Stabilizing Transformers for Reinforcement Learning ICML 2020
Attention-Privileged Reinforcement Learning CORL 2020
A distributional view on multi-objective policy optimization ICML 2020
Learning to Follow Directions in Street View AAAI 2020
Meta-Learning with Warped Gradient Descent ICLR 2020
Continual Unsupervised Representation Learning NIPS 2019
Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks CVPR 2019
Meta-Learning with Latent Embedding Optimization ICLR 2019
Reinforcement and Imitation Learning for Diverse Visuomotor Skills RSS 2018
Learning to Navigate in Cities Without a Map NIPS 2018
Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal CORL 2018
Graph Networks as Learnable Physics Engines for Inference and Control ICML 2018
Progress & Compress: A scalable framework for continual learning ICML 2018
Sim-to-Real Robot Learning from Pixels with Progressive Nets CORL 2017
Distral: Robust multitask reinforcement learning NIPS 2017
Online Learning for Offroad Robots: Spatial Label Propagation to Learn Long-Range Traversability RSS 2007