activity
20152025
most citedQT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

713 citations · 1.6k across the 19 of their papers we have counts for

collaborators
Showing 2016Show all

2 papers · 1 filter

cs.LG2016★ 136 cited

Collective Robot Reinforcement Learning with Distributed Asynchronous Guided Policy Search

Ali Yahya, Adrian Li, Mrinal Kalakrishnan +2

In principle, reinforcement learning and policy search methods can enable robots to learn highly complex and general skills that may allow them to function amid the complexity and…

cs.RO2016★ 12 cited

Path Integral Guided Policy Search

Yevgen Chebotar, Mrinal Kalakrishnan, Ali Yahya +3

We present a policy search method for learning complex feedback control policies that map from high-dimensional sensory inputs to motor torques, for manipulation tasks with discont…