Hypothesis-Driven Skill Discovery for Hierarchical Deep Reinforcement Learning

27 May 2019

Papers citing "Hypothesis-Driven Skill Discovery for Hierarchical Deep Reinforcement Learning"

5 / 5 papers shown

Title
Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning Caleb Chuck Fan Feng Carl Qi Chang Shi Siddhant Agarwal Amy Zhang S. Niekum 47 0 0 06 May 2025
Hierarchical Reinforcement Learning By Discovering Intrinsic Options Jesse Zhang Haonan Yu Wenyuan Xu BDL 132 82 0 16 Jan 2021
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum George Konidaris 36 356 0 06 Jul 2019
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 241 439 0 01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 283 1,401 0 01 Dec 2016