Reinforcement Learning with Parameterized Actions

5 September 2015

Papers citing "Reinforcement Learning with Parameterized Actions"

35 / 35 papers shown

Title
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning Jiapeng Zhu Zichen Ding Jianxiang Yu Jiaqi Tan Xiang Li Weining Qian OffRL 154 3 0 20 Jan 2025
Learn A Flexible Exploration Model for Parameterized Action Markov Decision Processes Zijian Wang Bin Wang Mingwen Shao Hongbo Dou Boxiang Tao 38 0 0 06 Jan 2025
Exploiting Hybrid Policy in Reinforcement Learning for Interpretable Temporal Logic Manipulation Hao Zhang Hao Wang Xiucai Huang Wenrui Chen Z. Kan 46 0 0 31 Dec 2024
VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning Yichao Liang Nishanth Kumar Hao Tang Adrian Weller J. Tenenbaum Tom Silver Joao Henriques Kevin Ellis 53 10 0 30 Oct 2024
Integrating Reinforcement Learning and Model Predictive Control with Applications to Microgrids Caio Fabio Oliveira da Silva Azita Dabiri B. de Schutter 50 4 0 17 Sep 2024
Points2Plans: From Point Clouds to Long-Horizon Plans with Composable Relational Dynamics Yixuan Huang Christopher Agia Jimmy Wu Tucker Hermans Jeannette Bohg 3DPC 49 1 0 27 Aug 2024
One-Shot Transfer of Long-Horizon Extrinsic Manipulation Through Contact Retargeting Albert Wu Ruocheng Wang Sirui Chen Clemens Eppner Chenxi Liu 39 3 0 11 Apr 2024
Model-based Reinforcement Learning for Parameterized Action Spaces Renhao Zhang Haotian Fu Yilin Miao George Konidaris 31 3 0 03 Apr 2024
Practice Makes Perfect: Planning to Learn Skill Parameter Policies Nishanth Kumar Tom Silver Willie McClinton Linfeng Zhao Stephen Proulx Tomás Lozano-Pérez L. Kaelbling Jennifer Barry 64 19 0 22 Feb 2024
Meta-Learning Parameterized Skills Haotian Fu Shangqun Yu Saket Tiwari Michael Littman George Konidaris 38 6 0 07 Jun 2022
Active Learning of Quantum System Hamiltonians yields Query Advantage Arko Dutt E. Pednault C. Wu S. Sheldon J. Smolin L. Bishop I. Chuang 22 11 0 29 Dec 2021
TMM-Fast: A Transfer Matrix Computation Package for Multilayer Thin-Film Optimization Alexander Luce Ali Mahdavi F. Marquardt H. Wankerl 16 25 0 24 Nov 2021
One model Packs Thousands of Items with Recurrent Conditional Query Learning Dongda Li Zhaoquan Gu Yuexuan Wang Changwei Ren F. Lau 27 17 0 12 Nov 2021
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives Murtaza Dalal Deepak Pathak Ruslan Salakhutdinov 40 90 0 28 Oct 2021
Learning Insertion Primitives with Discrete-Continuous Hybrid Action Space for Robotic Assembly Tasks Yongyu Wang Shiyu Jin Changhao Wang Xinghao Zhu Masayoshi Tomizuka 26 42 0 25 Oct 2021
Hierarchical Skills for Efficient Exploration Jonas Gehring Gabriel Synnaeve Andreas Krause Nicolas Usunier 28 40 0 20 Oct 2021
Design Strategy Network: A deep hierarchical framework to represent generative design strategies in complex action spaces Ayush Raina Jonathan Cagan Christopher McComb AI4CE 25 13 0 07 Oct 2021
Search-Based Task Planning with Learned Skill Effect Models for Lifelong Robotic Manipulation Jacky Liang Mohit Sharma A. LaGrassa Shivam Vats Saumya Saxena Oliver Kroemer 67 31 0 17 Sep 2021
ROS-X-Habitat: Bridging the ROS Ecosystem with Embodied AI Guanxiong Chen Haoyu Yang Ian M. Mitchell LM&Ro 50 7 0 16 Sep 2021
Deep hierarchical reinforcement agents for automated penetration testing Khuong Tran Ashlesha Akella Maxwell Standen Junae Kim David Bowman Toby J. Richer Chin-Teng Lin Institution One 46 38 0 14 Sep 2021
HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation Boyan Li Hongyao Tang Yan Zheng Jianye Hao Pengyi Li Zhen Wang Zhaopeng Meng Li Wang 37 42 0 12 Sep 2021
Causal Reasoning in Simulation for Structure and Transfer Learning of Robot Manipulation Policies Timothy E. Lee Jialiang Zhao A. Sawhney Siddharth Girdhar Oliver Kroemer CML 26 32 0 31 Mar 2021
Generalizing Object-Centric Task-Axes Controllers using Keypoints Mohit Sharma Oliver Kroemer 28 6 0 18 Mar 2021
Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods Nicholay Topin Stephanie Milani Fei Fang Manuela Veloso OffRL 29 32 0 25 Feb 2021
Learning Event-triggered Control from Data through Joint Optimization Niklas Funk Dominik Baumann V. Berenz Sebastian Trimpe 10 17 0 11 Aug 2020
Parameterized MDPs and Reinforcement Learning Problems -- A Maximum Entropy Principle Based Framework Amber Srivastava S. Salapaka 19 11 0 17 Jun 2020
Reinforcement Learning for Molecular Design Guided by Quantum Mechanics G. Simm Robert Pinsler José Miguel Hernández-Lobato AI4CE 21 82 0 18 Feb 2020
Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics Michael Neunert A. Abdolmaleki Markus Wulfmeier Thomas Lampe Jost Tobias Springenberg Roland Hafner Francesco Romano J. Buchli N. Heess Martin Riedmiller 21 91 0 02 Jan 2020
Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space Zhou Fan Ruilong Su Weinan Zhang Yong Yu 14 133 0 04 Mar 2019
Hierarchical Approaches for Reinforcement Learning in Parameterized Action Space E. Wei Drew Wicke S. Luke BDL 22 35 0 23 Oct 2018
Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space Jiechao Xiong Qing Wang Zhuoran Yang Peng Sun Lei Han Yang Zheng Haobo Fu Tong Zhang Ji Liu Han Liu 37 169 0 10 Oct 2018
Deep Reinforcement Learning for Event-Triggered Control Dominik Baumann Jia Jie Zhu Georg Martius Sebastian Trimpe BDL 22 60 0 13 Sep 2018
Do What I Want, Not What I Did: Imitation of Skills by Planning Sequences of Actions Chris Paxton Felix Jonathan Marin Kobilarov Gregory Hager 13 21 0 05 Dec 2016
Towards Lifelong Self-Supervision: A Deep Learning Direction for Robotics J. M. Wong 27 11 0 01 Nov 2016
Situational Awareness by Risk-Conscious Skills D. Mankowitz Aviv Tamar Shie Mannor 14 7 0 10 Oct 2016