HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via
Hybrid Action Representation

HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation

12 September 2021

Yan Zheng

Jianye Hao

Papers citing "HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation"

19 / 19 papers shown

Title
Enhancing Secrecy Energy Efficiency in RIS-Aided Aerial Mobile Edge Computing Networks: A Deep Reinforcement Learning Approach A. S. Abdalla V. Marojevic 7 0 0 16 May 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
Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn Hongyao Tang Glen Berseth OffRL 40 1 0 07 Sep 2024
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making Zibin Dong Yifu Yuan Jianye Hao Fei Ni Yi Ma Pengyi Li Yan Zheng DiffM 58 8 0 13 Jun 2024
Model-based Reinforcement Learning for Parameterized Action Spaces Renhao Zhang Haotian Fu Yilin Miao G. Konidaris 26 3 0 03 Apr 2024
Scheduling Drone and Mobile Charger via Hybrid-Action Deep Reinforcement Learning Jizhe Dou Haotian Zhang Guodong Sun 20 0 0 16 Mar 2024
Discretionary Lane-Change Decision and Control via Parameterized Soft Actor-Critic for Hybrid Action Space Yuan Lin Xiao Liu Zishun Zheng 17 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
Challenges for Reinforcement Learning in Quantum Circuit Design Philipp Altmann Jonas Stein Michael Kolle Adelina Barligea Thomas Gabor Thomy Phan Sebastian Feld Claudia Linnhoff-Popien 22 4 0 18 Dec 2023
LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios Yazhe Niu Yuan Pu Zhenjie Yang Xueyan Li Tong Zhou Jiyuan Ren Shuai Hu Hongsheng Li Yu Liu 90 12 0 12 Oct 2023
$C$\cdot$ASE: Learning Conditional Adversarial Skill Embeddings for Physics-based Characters$ C $\cdot$ ASE: Learning Conditional Adversarial Skill Embeddings for Physics-based Characters Zhiyang Dou Xuelin Chen Qingnan Fan Taku Komura Wenping Wang 31 39 0 20 Sep 2023
Maneuver Decision-Making Through Proximal Policy Optimization And Monte Carlo Tree Search Hong-Peng Zhang 23 1 0 28 Aug 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
Reinforcement learning for traffic signal control in hybrid action space Haoqing Luo Sheng Jin 32 7 0 23 Nov 2022
Meta-Learning Parameterized Skills Haotian Fu Shangqun Yu Saket Tiwari Michael Littman G. Konidaris 30 6 0 07 Jun 2022
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration Pengyi Li Hongyao Tang Tianpei Yang Xiaotian Hao Tong Sang ... Jianye Hao Matthew E. Taylor Wenyuan Tao Zhen Wang Fazl Barez 19 30 0 16 Mar 2022
Distributional Reinforcement Learning for Scheduling of Chemical Production Processes M. Mowbray Dongda Zhang Ehecatl Antonio del Rio Chanona OffRL 15 6 0 01 Mar 2022
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 33 92 0 14 Sep 2021
Decoupling Representation Learning from Reinforcement Learning Adam Stooke Kimin Lee Pieter Abbeel Michael Laskin SSL DRL 284 339 0 14 Sep 2020