24 citations · 60 across the 25 of their papers we have counts for
3 papers · 1 filter
MAT: Multi-Fingered Adaptive Tactile Grasping via Deep Reinforcement Learning
Bohan Wu, Iretiayo Akinola, Jacob Varley +1
Vision-based grasping systems typically adopt an open-loop execution of a planned grasp. This policy can fail due to many reasons, including ubiquitous calibration error. Recovery…
Accelerated Robot Learning via Human Brain Signals
Iretiayo Akinola, Zizhao Wang, Junyao Shi +6
In reinforcement learning (RL), sparse rewards are a natural way to specify the task to be learned. However, most RL algorithms struggle to learn in this setting since the learning…
Pixel-Attentive Policy Gradient for Multi-Fingered Grasping in Cluttered Scenes
Bohan Wu, Iretiayo Akinola, Peter K. Allen
Recent advances in on-policy reinforcement learning (RL) methods enabled learning agents in virtual environments to master complex tasks with high-dimensional and continuous observ…