FeUdal Networks for Hierarchical Reinforcement Learning

3 March 2017

David Silver

Papers citing "FeUdal Networks for Hierarchical Reinforcement Learning"

50 / 191 papers shown

Title
Flattening Hierarchies with Policy Bootstrapping John L. Zhou Jonathan C. Kao OffRL 16 0 0 20 May 2025
Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning Hongjoon Ahn Heewoong Choi Jisu Han Taesup Moon OffRL 24 0 0 19 May 2025
Implicitly Aligning Humans and Autonomous Agents through Shared Task Abstractions Stéphane Aroca-Ouellette Miguel Aroca-Ouellette K. Wense Alessandro Roncone 41 0 0 07 May 2025
Hierarchical Reinforcement Learning in Multi-Goal Spatial Navigation with Autonomous Mobile Robots Brendon Johnson Alfredo Weitzenfeld 34 0 0 26 Apr 2025
TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning Giuseppe Paolo Abdelhakim Benechehab Hamza Cherkaoui Albert Thomas Balázs Kégl 53 0 0 21 Feb 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
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
GreenLight-Gym: Reinforcement learning benchmark environment for control of greenhouse production systems Bart van Laatum Eldert J. van Henten Sjoerd Boersma OffRL 74 0 0 06 Oct 2024
Coordinating Planning and Tracking in Layered Control Policies via Actor-Critic Learning Fengjun Yang Nikolai Matni OffRL 31 0 0 03 Aug 2024
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
VICtoR: Learning Hierarchical Vision-Instruction Correlation Rewards for Long-horizon Manipulation Kuo-Han Hung Pang-Chi Lo Jia-Fong Yeh Han-Yuan Hsu Yi-Ting Chen Winston H. Hsu 38 0 0 26 May 2024
A Survey on Vision-Language-Action Models for Embodied AI Yueen Ma Zixing Song Yuzheng Zhuang Jianye Hao Irwin King LM&Ro 82 45 0 23 May 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
Agile and versatile bipedal robot tracking control through reinforcement learning Jiayi Li Linqi Ye Yi Cheng Houde Liu Bin Liang 38 1 0 12 Apr 2024
Reinforcement Learning Based Oscillation Dampening: Scaling up Single-Agent RL algorithms to a 100 AV highway field operational test Kathy Jang Nathan Lichtlé Eugene Vinitsky Adit Shah Matt Bunting ... Dan Work M. D. Monache Jonathan Sprinkle Jonathan W. Lee Alexandre M. Bayen 28 7 0 26 Feb 2024
A Landmark-Aware Visual Navigation Dataset Faith Johnson Bryan Bo Cao Kristin J. Dana Shubham Jain Ashwin Ashok 3DV 36 0 0 22 Feb 2024
Scaling Artificial Intelligence for Digital Wargaming in Support of Decision-Making Scotty Black Christian J. Darken 19 2 0 08 Feb 2024
Adaptive trajectory-constrained exploration strategy for deep reinforcement learning Guojian Wang Faguo Wu Xiao Zhang Ning Guo Zhiming Zheng 41 3 0 27 Dec 2023
Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects Min Hua Dong Chen Xinda Qi Kun Jiang Z. Liu Quan Zhou Hongming Xu 28 10 0 18 Dec 2023
Building Open-Ended Embodied Agent via Language-Policy Bidirectional Adaptation Shaopeng Zhai Jie Wang Tianyi Zhang Fuxian Huang Qi Zhang Ming Zhou Jing Hou Yu Qiao Yu Liu LLMAG LM&Ro 41 1 0 12 Dec 2023
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions Maziyar Khadivi Todd Charter Marjan Yaghoubi Masoud Jalayer Maryam Ahang Ardeshir Shojaeinasab Homayoun Najjaran 37 11 0 04 Oct 2023
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning David Yunis Justin Jung Falcon Z. Dai Matthew R. Walter OffRL 49 0 0 08 Sep 2023
Reinforcement Learning for Generative AI: A Survey Yuanjiang Cao Quan.Z Sheng Julian McAuley Lina Yao SyDa 53 10 0 28 Aug 2023
Dyadic Reinforcement Learning Shuangning Li L. Niell S. Choi Inbal Nahum-Shani Guy Shani Susan Murphy OffRL 25 1 0 15 Aug 2023
Wasserstein Diversity-Enriched Regularizer for Hierarchical Reinforcement Learning Haorui Li Jiaqi Liang Linjing Li D. Zeng 16 0 0 02 Aug 2023
Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning Marcel Hussing Jorge Armando Mendez Mendez Anisha Singrodia Cassandra Kent Eric Eaton OffRL 35 5 0 13 Jul 2023
Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward Zihan Zhou Animesh Garg OffRL 32 3 0 30 Apr 2023
CRISP: Curriculum inducing Primitive Informed Subgoal Prediction Utsav Singh Vinay P. Namboodiri 36 3 0 07 Apr 2023
Exposure-Based Multi-Agent Inspection of a Tumbling Target Using Deep Reinforcement Learning Joshua Aurand Steven Cutlip Henry Lei Kendra A. Lang S. Phillips 29 6 0 27 Feb 2023
Curiosity-driven Exploration in Sparse-reward Multi-agent Reinforcement Learning Jiong Li Pratik Gajane 42 4 0 21 Feb 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
Predictable MDP Abstraction for Unsupervised Model-Based RL Seohong Park Sergey Levine 26 9 0 08 Feb 2023
Developing Driving Strategies Efficiently: A Skill-Based Hierarchical Reinforcement Learning Approach Yigit Gurses Kaan Buyukdemirci Y. Yildiz 33 5 0 04 Feb 2023
Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-Decomposition P. Sunehag A. Vezhnevets Edgar A. Duénez-Guzmán Igor Mordach Joel Z. Leibo 26 2 0 02 Feb 2023
Neural Episodic Control with State Abstraction Zhuo Li Derui Zhu Yujing Hu Xiaofei Xie Lei Ma Yan Zheng Yan Song Yingfeng Chen Jianjun Zhao OffRL 28 14 0 27 Jan 2023
Deep Laplacian-based Options for Temporally-Extended Exploration Martin Klissarov Marlos C. Machado OffRL 26 19 0 26 Jan 2023
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 42 124 0 19 Jan 2023
Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents Minghuan Liu Zhengbang Zhu Menghui Zhu Yuzheng Zhuang Weinan Zhang Jianye Hao 18 0 0 18 Dec 2022
Melting Pot 2.0 J. Agapiou A. Vezhnevets Edgar A. Duénez-Guzmán Jayd Matyas Yiran Mao ... Sukhdeep Singh Julia Haas Igor Mordatch D. Mobbs Joel Z. Leibo 45 32 0 24 Nov 2022
Planning Irregular Object Packing via Hierarchical Reinforcement Learning Sichao Huang Ziwei Wang Jie Zhou Jiwen Lu 18 19 0 17 Nov 2022
Control Transformer: Robot Navigation in Unknown Environments through PRM-Guided Return-Conditioned Sequence Modeling Daniel Lawson A. H. Qureshi 27 8 0 11 Nov 2022
Emergency action termination for immediate reaction in hierarchical reinforcement learning Michal Bortkiewicz Jakub Lyskawa Pawel Wawrzyñski M. Ostaszewski Artur Grudkowski Tomasz Trzciñski 24 0 0 11 Nov 2022
Local Connection Reinforcement Learning Method for Efficient Control of Robotic Peg-in-Hole Assembly Yuhang Gai Jiwen Zhang Dan Wu Ken Chen OffRL 32 1 0 24 Oct 2022
LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon Manipulation Shuo Cheng Danfei Xu 58 37 0 23 Oct 2022
Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization Stone Tao Xiaochen Li Tongzhou Mu Zhiao Huang Yuzhe Qin Hao Su 29 3 0 14 Oct 2022
Optimizing Industrial HVAC Systems with Hierarchical Reinforcement Learning William Wong Praneet Dutta Octavian Voicu Yuri Chervonyi Cosmin Paduraru Jerry Luo OffRL AI4CE 34 5 0 16 Sep 2022
Task-Agnostic Learning to Accomplish New Tasks Xianqi Zhang Xingtao Wang Xu Liu Wenrui Wang Xiaopeng Fan Debin Zhao OffRL 91 0 0 09 Sep 2022
BITS: Bi-level Imitation for Traffic Simulation Danfei Xu Yuxiao Chen Boris Ivanovic Marco Pavone 34 81 0 26 Aug 2022
Graph-Structured Policy Learning for Multi-Goal Manipulation Tasks David Klee Ondrej Biza Robert Platt OffRL 29 1 0 22 Jul 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition Jorge Armando Mendez Mendez Eric Eaton KELM CLL 37 27 0 15 Jul 2022