v1v2 (latest)

Composing Task-Agnostic Policies with Deep Reinforcement Learning

International Conference on Learning Representations (ICLR), 2019

25 May 2019

Papers citing "Composing Task-Agnostic Policies with Deep Reinforcement Learning"

23 / 23 papers shown

Title
Multimodal LLMs Do Not Compose Skills Optimally Across Modalities Paula Ontalvilla Aitor Ormazabal Gorka Azkune 113 0 0 11 Nov 2025
Learning Parameterized Skills from Demonstrations Vedant Gupta Haotian Fu Calvin Luo Yiding Jiang George Konidaris 76 0 0 28 Oct 2025
Skill Expansion and Composition in Parameter SpaceInternational Conference on Learning Representations (ICLR), 2025 Tenglong Liu Junjie Li Yinan Zheng Haoyi Niu Yixing Lan Xin Xu Xianyuan Zhan 308 10 0 09 Feb 2025
METRA: Scalable Unsupervised RL with Metric-Aware AbstractionInternational Conference on Learning Representations (ICLR), 2023 Seohong Park Oleh Rybkin Sergey Levine OffRL 356 64 0 13 Oct 2023
Policy composition in reinforcement learning via multi-objective policy optimization Shruti Mishra Ankit Anand Jordan Hoffmann N. Heess Martin Riedmiller A. Abdolmaleki Doina Precup 245 1 0 29 Aug 2023
On the Value of Myopic Behavior in Policy ReuseIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Kang Xu Chenjia Bai Delin Qu Haoran He Bin Zhao Zhen Wang Wei Li Xuelong Li 164 2 0 28 May 2023
Controllability-Aware Unsupervised Skill DiscoveryInternational Conference on Machine Learning (ICML), 2023 Seohong Park Kimin Lee Youngwoon Lee Pieter Abbeel 329 57 0 10 Feb 2023
A Constrained-Optimization Approach to the Execution of Prioritized Stacks of Learned Multi-Robot TasksInternational Symposium on Distributed Autonomous Robotic Systems (DARS), 2023 Gennaro Notomista 155 3 0 13 Jan 2023
Control Transformer: Robot Navigation in Unknown Environments through PRM-Guided Return-Conditioned Sequence ModelingIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022 Daniel Lawson A. H. Qureshi 227 13 0 11 Nov 2022
Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022 Zih-Yun Chiu Yi-Lin Tuan William Yang Wang Michael C. Yip OffRL 217 6 0 07 Oct 2022
ASPiRe:Adaptive Skill Priors for Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022 Mengda Xu Manuela Veloso Shuran Song CLL OffRL 160 13 0 30 Sep 2022
Intelligent problem-solving as integrated hierarchical reinforcement learningNature Machine Intelligence (Nat. Mach. Intell.), 2022 Manfred Eppe Christian Gumbsch Matthias Kerzel Phuong D. H. Nguyen Martin Volker Butz S. Wermter 248 86 0 18 Aug 2022
Meta-Learning Parameterized SkillsInternational Conference on Machine Learning (ICML), 2022 Haotian Fu Shangqun Yu Saket Tiwari Michael Littman George Konidaris 311 8 0 07 Jun 2022
Unsupervised Reinforcement Learning for Transferable Manipulation Skill DiscoveryIEEE Robotics and Automation Letters (RA-L), 2022 Daesol Cho Jigang Kim H. J. Kim OffRL SSL 158 19 0 29 Apr 2022
Lipschitz-constrained Unsupervised Skill DiscoveryInternational Conference on Learning Representations (ICLR), 2022 Seohong Park Jongwook Choi Jaekyeom Kim Honglak Lee Gunhee Kim 251 63 0 02 Feb 2022
Hierarchical Skills for Efficient ExplorationNeural Information Processing Systems (NeurIPS), 2021 Jonas Gehring Gabriel Synnaeve Andreas Krause Nicolas Usunier 195 46 0 20 Oct 2021
Learning Multi-Objective Curricula for Robotic Policy Learning Jikun Kang Miao Liu Abhinav Gupta C. Pal Xue Liu Jie Fu 254 6 0 06 Oct 2021
Hierarchical Primitive Composition: Simultaneous Activation of Skills with Inconsistent Action Dimensions in Multiple Hierarchies Jeong-Hoon Lee Jongeun Choi 363 9 0 05 Oct 2021
Learning Multimodal Rewards from RankingsConference on Robot Learning (CoRL), 2021 Vivek Myers Erdem Biyik Nima Anari Dorsa Sadigh OffRL 204 59 0 27 Sep 2021
Hierarchical principles of embodied reinforcement learning: A review Manfred Eppe Christian Gumbsch Matthias Kerzel Phuong D. H. Nguyen Martin Volker Butz S. Wermter 365 11 0 18 Dec 2020
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving Zhangjie Cao Erdem Biyik Woodrow Z. Wang Allan Raventos Adrien Gaidon Guy Rosman Dorsa Sadigh 227 70 0 01 Jul 2020
Multi-Task Reinforcement Learning with Soft ModularizationNeural Information Processing Systems (NeurIPS), 2020 Ruihan Yang Huazhe Xu Yi Wu Xiaolong Wang 203 216 0 30 Mar 2020
Motion Planning Networks: Bridging the Gap Between Learning-based and Classical Motion PlannersIEEE Transactions on robotics (TRO), 2019 A. H. Qureshi Yinglong Miao Anthony Simeonov Michael C. Yip PINN 3DV 391 269 0 13 Jul 2019