Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning?

23 September 2019

Papers citing "Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning?"

27 / 27 papers shown

Title
Dynamic Legged Ball Manipulation on Rugged Terrains with Hierarchical Reinforcement Learning Dongjie Zhu Zhuo Yang Tianhang Wu Luzhou Ge X. Li Qi Liu Xuzhao Li 29 0 0 21 Apr 2025
DIPPER: Direct Preference Optimization to Accelerate Primitive-Enabled Hierarchical Reinforcement Learning Utsav Singh Souradip Chakraborty Wesley A Suttle Brian M. Sadler Vinay P. Namboodiri Amrit Singh Bedi OffRL 53 0 0 03 Jan 2025
LGR2: Language Guided Reward Relabeling for Accelerating Hierarchical Reinforcement Learning Utsav Singh Pramit Bhattacharyya Vinay P. Namboodiri LM&Ro 47 1 0 09 Jun 2024
Hierarchical World Models as Visual Whole-Body Humanoid Controllers Nicklas Hansen V. JyothirS Vlad Sobal Yann LeCun Xiaolong Wang Hao Su VGen 52 10 0 28 May 2024
Effective Reinforcement Learning Based on Structural Information Principles Xianghua Zeng Hao Peng Dingli Su Angsheng Li 40 0 0 15 Apr 2024
Hieros: Hierarchical Imagination on Structured State Space Sequence World Models Paul Mattes Rainer Schlosser R. Herbrich 23 4 0 08 Oct 2023
CRISP: Curriculum inducing Primitive Informed Subgoal Prediction Utsav Singh Vinay P. Namboodiri 31 3 0 07 Apr 2023
Natural Language-conditioned Reinforcement Learning with Inside-out Task Language Development and Translation Jing-Cheng Pang Xinyi Yang Sibei Yang Yang Yu 29 8 0 18 Feb 2023
Hierarchically Composing Level Generators for the Creation of Complex Structures Michael Beukman Manuel A. Fokam Marcel Kruger Guy Axelrod Muhammad Umair Nasir Branden Ingram Benjamin Rosman Steven D. James 37 9 0 03 Feb 2023
SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration Giulia Vezzani Dhruva Tirumala Markus Wulfmeier Dushyant Rao A. Abdolmaleki ... Tim Hertweck Thomas Lampe Fereshteh Sadeghi N. Heess Martin Riedmiller OffRL 38 6 0 24 Nov 2022
Emergency action termination for immediate reaction in hierarchical reinforcement learning Michal Bortkiewicz Jakub Lyskawa Pawel Wawrzyñski M. Ostaszewski Artur Grudkowski Tomasz Trzciñski 21 0 0 11 Nov 2022
Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning Riashat Islam Hongyu Zang Anirudh Goyal Alex Lamb Kenji Kawaguchi Xin-hui Li Romain Laroche Yoshua Bengio Rémi Tachet des Combes OffRL AI4CE 23 9 0 01 Nov 2022
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey A. Aubret L. Matignon S. Hassas 34 35 0 19 Sep 2022
SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning A. Chester Michael Dann Fabio Zambetta John Thangarajah 11 0 0 09 Mar 2022
Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning Trevor Ablett Bryan Chan Jonathan Kelly 24 4 0 16 Dec 2021
Learning Transferable Motor Skills with Hierarchical Latent Mixture Policies Dushyant Rao Fereshteh Sadeghi Leonard Hasenclever Markus Wulfmeier Martina Zambelli ... Dhruva Tirumala Y. Aytar J. Merel N. Heess R. Hadsell 15 28 0 09 Dec 2021
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning Dhruv Shah Peng Xu Yao Lu Ted Xiao Alexander Toshev Sergey Levine Brian Ichter OffRL 32 41 0 04 Nov 2021
Hierarchical Skills for Efficient Exploration Jonas Gehring Gabriel Synnaeve Andreas Krause Nicolas Usunier 28 40 0 20 Oct 2021
Provable Hierarchy-Based Meta-Reinforcement Learning Kurtland Chua Qi Lei Jason D. Lee 22 5 0 18 Oct 2021
A Survey of Exploration Methods in Reinforcement Learning Susan Amin Maziar Gomrokchi Harsh Satija H. V. Hoof Doina Precup OffRL 21 80 0 01 Sep 2021
Discovery of Options via Meta-Learned Subgoals Vivek Veeriah Tom Zahavy Matteo Hessel Zhongwen Xu Junhyuk Oh Iurii Kemaev H. V. Hasselt David Silver Satinder Singh 26 33 0 12 Feb 2021
Behavior Priors for Efficient Reinforcement Learning Dhruva Tirumala Alexandre Galashov Hyeonwoo Noh Leonard Hasenclever Razvan Pascanu ... Guillaume Desjardins Wojciech M. Czarnecki Arun Ahuja Yee Whye Teh N. Heess 37 39 0 27 Oct 2020
OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning Anurag Ajay Aviral Kumar Pulkit Agrawal Sergey Levine Ofir Nachum OffRL OnRL 34 155 0 26 Oct 2020
Efficient Robotic Object Search via HIEM: Hierarchical Policy Learning with Intrinsic-Extrinsic Modeling Xin Ye Yezhou Yang 22 14 0 16 Oct 2020
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning Tianren Zhang Shangqi Guo Tian Tan Xiaolin Hu Feng Chen 22 81 0 20 Jun 2020
Emergence of Locomotion Behaviours in Rich Environments N. Heess TB Dhruva S. Sriram Jay Lemmon J. Merel ... Tom Erez Ziyun Wang S. M. Ali Eslami Martin Riedmiller David Silver 143 928 0 07 Jul 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015