Alex Irpan

14 papers · 2018–2025 · 5 conferences · across top CS/AI conferences

Achievements

+11 more ↓

🌍 Conference Polyglot (5) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (7)

🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (5) 🤝 Dynamic Duo (11) 👥 Mega-Team (55) 🧬 Topic Evolution 💎 Century Club (14) 🚀 Conference Pioneer 🗃️ Keyword Collector (66) 🔥 Unstoppable (8) ❓ The Questioner

Conferences

CORL (7) ICML (3) CVPR (2) RSS (1) UAI (1)

Top co-authors

Sergey Levine (11) Dmitry Kalashnikov (8) Yevgen Chebotar (7) Julian Ibarz (6) Ted Xiao (6) Alexander Herzog (6) Chelsea Finn (6) Yao Lu (6) Karol Hausman (6) Kanishka Rao (5)

Keywords

robotic grasping (3) robotic manipulation (3) reinforcement learning (3) domain adaptation (2) image translation (2) multi-task learning (2) offline reinforcement learning (2) imitation learning (2) computer vision (1) zero-shot learning (1) deep reinforcement learning (1) game theory (1) value function (1) self-supervised learning (1) transfer learning (1) domain randomization (1) task generalization (1) representation learning (1) active learning (1) unsupervised 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 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 Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions 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