14 citations · 17 across the 3 of their papers we have counts for
2 papers
cs.LG2019★ 2 cited
The Principle of Unchanged Optimality in Reinforcement Learning Generalization
Alex Irpan, Xingyou Song
Several recent papers have examined generalization in reinforcement learning (RL), by proposing new environments or ways to add noise to existing environments, then benchmarking al…
cs.LG2017★ 1 cited
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping
Konstantinos Bousmalis, Alex Irpan, Paul Wohlhart +9
Instrumenting and collecting annotated visual grasping datasets to train modern machine learning algorithms can be extremely time-consuming and expensive. An appealing alternative…