Alex Irpan
14 papers · 2018–2025 · 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 (33) 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§¬
Topic Evolution
π§
Keyword Pioneer
π€
Dynamic Duo
(11)
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
β
The Questioner
π
Century Club Β· Bronze
π
Renaissance Researcher
(5)
ποΈ
Keyword Collector
(76)
Top co-authors
Research topics
Machine Learning
(9)
Reinforcement Learning
(9)
Applications Β· Reinforcement Learning
(9)
Artificial Intelligence
(8)
Deep Learning
(7)
Learning Types Β· Deep Learning
(6)
Methods
(6)
Core AI
(5)
Learning Types Β· Machine Learning
(4)
Robotics
(3)
Architectures
(3)
Core Methods
(3)
Application Areas
(2)
Applications Β· Robotics
(2)
Learning Paradigms
(2)
Keywords
reinforcement learning
(3)
robotic grasping
(3)
robotic manipulation
(3)
domain adaptation
(2)
multi-task learning
(2)
offline reinforcement learning
(2)
imitation learning
(2)
value function
(2)
large language model
(2)
image translation
(2)
computer vision
(1)
game theory
(1)
zero-shot learning
(1)
self-supervised learning
(1)
deep reinforcement learning
(1)
transfer learning
(1)
domain randomization
(1)
task generalization
(1)
chain-of-thought reasoning
(1)
representation learning
(1)
Papers
Generating Robot Constitutions & Benchmarks for Semantic Safety
CoRL 2025
Stop Regressing: Training Value Functions via Classification for Scalable Deep RL
ICML 2024
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions
CoRL 2023
RT-1: Robotics Transformer for Real-World Control at Scale
RSS 2023
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
CoRL 2023
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
CoRL 2022
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
ICML 2021
AW-Opt: Learning Robotic Skills with Imitation andReinforcement at Scale
CoRL 2021
BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning
CoRL 2021
RL-CycleGAN: Reinforcement Learning Aware Simulation-to-Real
CVPR 2020
Noise Contrastive Priors for Functional Uncertainty
UAI 2019
Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks
CVPR 2019
Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games?
ICML 2018
Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
CoRL 2018