Hierarchical Skills for Efficient Exploration

20 October 2021

Papers citing "Hierarchical Skills for Efficient Exploration"

32 / 32 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 X. Li 24 0 0 21 Apr 2025
Identifying Selections for Unsupervised Subtask Discovery Yiwen Qiu Yujia Zheng Kun Zhang 22 0 0 28 Oct 2024
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration Max Wilcoxson Qiyang Li Kevin Frans Sergey Levine SSL OffRL OnRL 54 0 0 23 Oct 2024
Goal Exploration via Adaptive Skill Distribution for Goal-Conditioned Reinforcement Learning Lisheng Wu Ke Chen 16 0 0 19 Apr 2024
Effective Reinforcement Learning Based on Structural Information Principles Xianghua Zeng Hao Peng Dingli Su Angsheng Li 28 0 0 15 Apr 2024
Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics Luca Grillotti Maxence Faldor Borja G. León Antoine Cully 16 2 0 15 Mar 2024
Scalable Interactive Machine Learning for Future Command and Control Anna Madison Ellen R. Novoseller Vinicius G. Goecks Benjamin T. Files Nicholas R. Waytowich Alfred Yu Vernon J. Lawhern Steven Thurman Christopher Kelshaw Kaleb McDowell 27 3 0 09 Feb 2024
HiBid: A Cross-Channel Constrained Bidding System with Budget Allocation by Hierarchical Offline Deep Reinforcement Learning Hao Wang Bo Tang Chi Harold Liu Shangqin Mao Jiahong Zhou Zipeng Dai Yaqi Sun Qianlong Xie Xingxing Wang Dong Wang OffRL 20 3 0 29 Dec 2023
A Central Motor System Inspired Pre-training Reinforcement Learning for Robotic Control Pei Zhang Zhaobo Hua Jinliang Ding 14 0 0 14 Nov 2023
Unleashing the Creative Mind: Language Model As Hierarchical Policy For Improved Exploration on Challenging Problem Solving Z. Ling Yunhao Fang Xuanlin Li Tongzhou Mu Mingu Lee Reza Pourreza Roland Memisevic Hao Su LRM 23 4 0 01 Nov 2023
Forecaster: Towards Temporally Abstract Tree-Search Planning from Pixels Thomas Jiralerspong Flemming Kondrup Doina Precup Khimya Khetarpal 11 0 0 16 Oct 2023
AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model Zibin Dong Yifu Yuan Jianye Hao Fei Ni Yao Mu Yan Zheng Yujing Hu Tangjie Lv Changjie Fan Zhipeng Hu 29 29 0 03 Oct 2023
Generalized Animal Imitator: Agile Locomotion with Versatile Motion Prior Ruihan Yang Zhuoqun Chen Jianhan Ma Chongyi Zheng Yiyu Chen Quan Nguyen X. Wang 29 16 0 02 Oct 2023
Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations Tianxiang Zhao Wenchao Yu Suhang Wang Lucy Wang Xiang Zhang Yuncong Chen Yanchi Liu Wei Cheng Haifeng Chen 17 8 0 13 Jun 2023
Hierarchical Strategies for Cooperative Multi-Agent Reinforcement Learning M. Ibrahim Ammar Fayad 9 1 0 14 Dec 2022
CIM: Constrained Intrinsic Motivation for Sparse-Reward Continuous Control Xiang Zheng Xingjun Ma Cong Wang 8 1 0 28 Nov 2022
Choreographer: Learning and Adapting Skills in Imagination Pietro Mazzaglia Tim Verbelen Bart Dhoedt Alexandre Lacoste Sai Rajeswar 11 21 0 23 Nov 2022
Emergency action termination for immediate reaction in hierarchical reinforcement learning Michal Bortkiewicz Jakub Lyskawa Pawel Wawrzyñski M. Ostaszewski Artur Grudkowski Tomasz Trzciñski 8 0 0 11 Nov 2022
Pretraining in Deep Reinforcement Learning: A Survey Zhihui Xie Zichuan Lin Junyou Li Shuai Li Deheng Ye OffRL OnRL AI4CE 21 22 0 08 Nov 2022
Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics Krishan Rana Ming Xu Brendan Tidd Michael Milford Niko Sünderhauf 13 25 0 04 Nov 2022
Goal Exploration Augmentation via Pre-trained Skills for Sparse-Reward Long-Horizon Goal-Conditioned Reinforcement Learning Lisheng Wu Ke Chen 11 3 0 28 Oct 2022
Leveraging Demonstrations with Latent Space Priors Jonas Gehring Deepak Gopinath Jungdam Won Andreas Krause Gabriel Synnaeve Nicolas Usunier 15 4 0 26 Oct 2022
Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity Maxime Allard Simón C. Smith Konstantinos Chatzilygeroudis Bryan Lim Antoine Cully 17 13 0 18 Oct 2022
Deep Hierarchical Planning from Pixels Danijar Hafner Kuang-Huei Lee Ian S. Fischer Pieter Abbeel 15 91 0 08 Jun 2022
SFP: State-free Priors for Exploration in Off-Policy Reinforcement Learning Marco Bagatella Sammy Christen Otmar Hilliges OffRL 14 5 0 26 May 2022
Hierarchical Quality-Diversity for Online Damage Recovery Maxime Allard Simón C. Smith Konstantinos Chatzilygeroudis Antoine Cully 9 11 0 12 Apr 2022
Perceiving the World: Question-guided Reinforcement Learning for Text-based Games Yunqiu Xu Meng Fang Ling Chen Yali Du Joey Tianyi Zhou Chengqi Zhang OffRL 10 19 0 20 Mar 2022
Do You Need the Entropy Reward (in Practice)? Haonan Yu Haichao Zhang Wei-ping Xu 15 6 0 28 Jan 2022
Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning Sasha Salter Kristian Hartikainen Walter Goodwin Ingmar Posner OffRL 15 5 0 20 Jan 2022
Hierarchical Reinforcement Learning By Discovering Intrinsic Options Jesse Zhang Haonan Yu W. Xu BDL 120 81 0 16 Jan 2021
D2RL: Deep Dense Architectures in Reinforcement Learning Samarth Sinha Homanga Bharadhwaj A. Srinivas Animesh Garg OffRL AI4CE 43 56 0 19 Oct 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 118 919 0 07 Jul 2017