Julian Ibarz
13 papers · 2017–2023 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (27) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π₯
Mega-Team Β· Legion
π€
Dynamic Duo
(12)
π
Conference Pioneer
π
Century Club Β· Bronze
π
Trend Setter
ποΈ
Keyword Collector
(69)
Venues
Top co-authors
Research topics
Reinforcement Learning
(10)
Machine Learning
(9)
Applications Β· Reinforcement Learning
(9)
Methods
(8)
Artificial Intelligence
(5)
Deep Learning
(5)
Core AI
(5)
Robotics
(4)
Core Methods
(4)
Learning Types Β· Deep Learning
(4)
Computer Vision
(3)
Application Areas
(3)
Applications Β· Robotics
(3)
Learning Types Β· Machine Learning
(3)
Architectures
(2)
Keywords
deep reinforcement learning
(4)
robotic grasping
(3)
reinforcement learning
(3)
domain adaptation
(2)
value function
(2)
image translation
(2)
mobile manipulator
(2)
robotic manipulation
(2)
multi-task learning
(2)
grasp planning
(1)
transfer learning
(1)
maximum entropy
(1)
off-policy evaluation
(1)
domain generalization
(1)
video understanding
(1)
semi-supervised learning
(1)
policy learning
(1)
self-supervised learning
(1)
sim-to-real transfer
(1)
object detection
(1)
Papers
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators
RSS 2023
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions
CoRL 2023
RT-1: Robotics Transformer for Real-World Control at Scale
RSS 2023
Token Turing Machines
CVPR 2023
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
CoRL 2022
RL-CycleGAN: Reinforcement Learning Aware Simulation-to-Real
CVPR 2020
Thinking While Moving: Deep Reinforcement Learning with Concurrent Control
ICLR 2020
Diversity is All You Need: Learning Skills without a Reward Function
ICLR 2019
Off-Policy Evaluation via Off-Policy Classification
NeurIPS 2019
Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks
CVPR 2019
Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning
ICLR 2018
Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
CoRL 2018
End-to-End Learning of Semantic Grasping
CoRL 2017