906 citations · 2.6k across the 17 of their papers we have counts for
Showing 2016Show all
2 papers · 1 filter
cs.LG2016★ 13 cited
Dynamic Frame skip Deep Q Network
Aravind Srinivas, Sahil Sharma, Balaraman Ravindran
Deep Reinforcement Learning methods have achieved state of the art performance in learning control policies for the games in the Atari 2600 domain. One of the important parameters…
cs.LG2016★ 27 cited
Option Discovery in Hierarchical Reinforcement Learning using Spatio-Temporal Clustering
Aravind Srinivas, Ramnandan Krishnamurthy, Peeyush Kumar +1
This paper introduces an automated skill acquisition framework in reinforcement learning which involves identifying a hierarchical description of the given task in terms of abstrac…