Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space

10 October 2018

Qing Wang

Tong Zhang

Papers citing "Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space"

45 / 45 papers shown

Title
A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective Zhuoren Li Guizhe Jin Ran Yu Z. Chen Nan I. Li ... Lu Xiong Bo Leng Jia Hu Ilya Kolmanovsky Dimitar Filev 54 0 0 31 Mar 2025
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning Jiapeng Zhu Zichen Ding Jianxiang Yu Jiaqi Tan Xiang Li Weining Qian OffRL 152 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 36 0 0 06 Jan 2025
HACMan++: Spatially-Grounded Motion Primitives for Manipulation Bowen Jiang Yilin Wu Wenxuan Zhou Chris Paxton David Held 43 2 0 11 Jul 2024
Detecting Continuous Integration Skip : A Reinforcement Learning-based Approach Hajer Mhalla M. Saied 24 0 0 15 May 2024
Model-based Reinforcement Learning for Parameterized Action Spaces Renhao Zhang Haotian Fu Yilin Miao George Konidaris 31 3 0 03 Apr 2024
A Survey on Resource Management in Joint Communication and Computing-Embedded SAGIN Qian Chen Zheng Guo Weixiao Meng Shuai Han Cheng Li Tony Q. S. Quek 49 20 0 26 Mar 2024
Scheduling Drone and Mobile Charger via Hybrid-Action Deep Reinforcement Learning Jizhe Dou Haotian Zhang Guodong Sun 27 0 0 16 Mar 2024
Constrained Optimal Fuel Consumption of HEV: A Constrained Reinforcement Learning Approach Shuchang Yan 11 1 0 12 Mar 2024
Discretionary Lane-Change Decision and Control via Parameterized Soft Actor-Critic for Hybrid Action Space Yuan Lin Xiao Liu Zishun Zheng 22 5 0 24 Feb 2024
CycLight: learning traffic signal cooperation with a cycle-level strategy Gengyue Han Xiaohan Liu Xianyue Peng Hao Wang Yu Han 6 6 0 16 Jan 2024
Joint Offloading and Resource Allocation for Hybrid Cloud and Edge Computing in SAGINs: A Decision Assisted Hybrid Action Space Deep Reinforcement Learning Approach Chong Huang Gaojie Chen Pei Xiao Yue Xiao Zhu Han Jonathon A. Chambers 20 21 0 02 Jan 2024
Counter-Empirical Attacking based on Adversarial Reinforcement Learning for Time-Relevant Scoring System Xiangguo Sun Hong Cheng Hang Dong Bo Qiao Si Qin Qingwei Lin AAML 119 10 0 09 Nov 2023
Learning impartial policies for sequential counterfactual explanations using Deep Reinforcement Learning E. Panagiotou Eirini Ntoutsi CML OffRL BDL 25 0 0 01 Nov 2023
Integrating Renewable Energy in Agriculture: A Deep Reinforcement Learning-based Approach Abdul Wahid I. Faiud Karl Mason 9 0 0 16 Aug 2023
HACMan: Learning Hybrid Actor-Critic Maps for 6D Non-Prehensile Manipulation Wen-Min Zhou Bowen Jiang Fan Yang Chris Paxton David Held 28 32 0 06 May 2023
Mixed-Integer Optimal Control via Reinforcement Learning: A Case Study on Hybrid Electric Vehicle Energy Management Jinming Xu N. L. Azad Yuan Lin 14 0 0 02 May 2023
Optimal Scheduling in IoT-Driven Smart Isolated Microgrids Based on Deep Reinforcement Learning Jiaju Qi Lei Lei Kan Zheng Simon X. Yang Xuemin X. Shen 16 11 0 28 Apr 2023
Diverse Policy Optimization for Structured Action Space Wenhao Li Baoxiang Wang Shanchao Yang H. Zha OffRL 32 1 0 23 Feb 2023
Reinforcement learning for traffic signal control in hybrid action space Haoqing Luo Sheng Jin 40 7 0 23 Nov 2022
Computational Discovery of Energy-Efficient Heat Treatment for Microstructure Design using Deep Reinforcement Learning J. Mianroodi N. Siboni Dierk Raabe AI4CE 40 2 0 22 Sep 2022
Learning-Based Client Selection for Federated Learning Services Over Wireless Networks with Constrained Monetary Budgets Zhipeng Cheng Xuwei Fan Minghui Liwang Ning Chen Xianbin Wang FedML 19 4 0 08 Aug 2022
Meta-Learning Parameterized Skills Haotian Fu Shangqun Yu Saket Tiwari Michael Littman George Konidaris 38 6 0 07 Jun 2022
Joint Energy Dispatch and Unit Commitment in Microgrids Based on Deep Reinforcement Learning Jiaju Qi Lei Lei Kan Zheng Simon X. Yang 14 0 0 03 Jun 2022
Collaborative Intelligent Reflecting Surface Networks with Multi-Agent Reinforcement Learning Jie M. Zhang Jun Li Yijin Zhang Qing-He Wu Xiongwei Wu Feng Shu Shi Jin Wen Chen 11 20 0 26 Mar 2022
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
ReLAX: Reinforcement Learning Agent eXplainer for Arbitrary Predictive Models Kiran Purohit Soumili Das Jia Wang He Zhu Santu Rana Gabriele Tolomei CML OffRL 41 36 0 22 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
Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks Soroush Nasiriany Huihan Liu Yuke Zhu 82 109 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
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain Jianye Hao Tianpei Yang Hongyao Tang Chenjia Bai Jinyi Liu Zhaopeng Meng Peng Liu Zhen Wang OffRL 36 93 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 34 42 0 12 Sep 2021
Survey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing Centralized Training P. Sharma Rolando Fernandez Erin G. Zaroukian M. Dorothy Anjon Basak Derrik E. Asher 13 40 0 29 Jul 2021
Automated Synthesis of Steady-State Continuous Processes using Reinforcement Learning Q. Göttl D. G. Grimm Jakob Burger AI4CE 68 20 0 12 Jan 2021
Noise-Robust End-to-End Quantum Control using Deep Autoregressive Policy Networks Jiahao Yao Paul Köttering Hans Gundlach Lin Lin Marin Bukov 26 14 0 12 Dec 2020
Parameterized Reinforcement Learning for Optical System Optimization H. Wankerl M. L. Stern Ali Mahdavi C. Eichler E. Lang 22 23 0 09 Oct 2020
Parameterized MDPs and Reinforcement Learning Problems -- A Maximum Entropy Principle Based Framework Amber Srivastava S. Salapaka 11 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 18 91 0 02 Jan 2020
Discrete and Continuous Action Representation for Practical RL in Video Games Olivier Delalleau Maxim Peter Eloi Alonso Adrien Logut 19 52 0 23 Dec 2019
An intelligent financial portfolio trading strategy using deep Q-learning Hyungju Park M. Sim D. Choi AIFin 9 86 0 08 Jul 2019
Multi-Pass Q-Networks for Deep Reinforcement Learning with Parameterised Action Spaces Craig J. Bester Steven D. James George Konidaris 11 57 0 10 May 2019
Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces Haotian Fu Hongyao Tang Jianye Hao Zihan Lei Yingfeng Chen Changjie Fan 9 64 0 12 Mar 2019
Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space Zhou Fan Ruilong Su Weinan Zhang Yong Yu 14 133 0 04 Mar 2019