Option Discovery in Hierarchical Reinforcement Learning using Spatio-Temporal Clustering

17 May 2016

Papers citing "Option Discovery in Hierarchical Reinforcement Learning using Spatio-Temporal Clustering"

8 / 8 papers shown

Title
NBDI: A Simple and Effective Termination Condition for Skill Extraction from Task-Agnostic Demonstrations Myunsoo Kim Hayeong Lee Seong-Woong Shim JunHo Seo Byung-Jun Lee LLMAG 39 0 0 22 Jan 2025
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration Max Wilcoxson Qiyang Li Kevin Frans Sergey Levine SSL OffRL OnRL 64 0 0 23 Oct 2024
Generalize by Touching: Tactile Ensemble Skill Transfer for Robotic Furniture Assembly Hao-ming Lin Radu Corcodel Ding Zhao 45 7 0 26 Apr 2024
Hierarchical Representation Learning for Markov Decision Processes Lorenzo Steccanella Simone Totaro Anders Jonsson 28 4 0 03 Jun 2021
Modeling Long-horizon Tasks as Sequential Interaction Landscapes Soren Pirk Karol Hausman Alexander Toshev Mohi Khansari 22 27 0 08 Jun 2020
Learning Options from Demonstration using Skill Segmentation M. Cockcroft Shahil Mawjee Steven D. James Pravesh Ranchod 8 4 0 19 Jan 2020
Multi-Level Discovery of Deep Options Roy Fox S. Krishnan Ion Stoica Ken Goldberg 24 124 0 24 Mar 2017
A Laplacian Framework for Option Discovery in Reinforcement Learning Marlos C. Machado Marc G. Bellemare Michael Bowling 9 260 0 02 Mar 2017