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Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space

Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space

4 March 2019
Zhou Fan
Ruilong Su
Weinan Zhang
Yong Yu
ArXivPDFHTML

Papers citing "Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space"

16 / 16 papers shown
Title
Learning Diverse Natural Behaviors for Enhancing the Agility of Quadrupedal Robots
Huiqiao Fu
Haoyu Dong
Wentao Xu
Zhehao Zhou
Guizhou Deng
Kaiqiang Tang
D. Dong
Chunlin Chen
26
0
0
15 May 2025
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning
Jiapeng Zhu
Zichen Ding
Jianxiang Yu
Jiaqi Tan
Xiang Li
Weining Qian
OffRL
157
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
46
0
0
06 Jan 2025
Exploiting Hybrid Policy in Reinforcement Learning for Interpretable Temporal Logic Manipulation
Exploiting Hybrid Policy in Reinforcement Learning for Interpretable Temporal Logic Manipulation
Hao Zhang
Hao Wang
Xiucai Huang
Wenrui Chen
Z. Kan
51
0
0
31 Dec 2024
Integrating Reinforcement Learning and Model Predictive Control with Applications to Microgrids
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
Model-based Reinforcement Learning for Parameterized Action Spaces
Model-based Reinforcement Learning for Parameterized Action Spaces
Renhao Zhang
Haotian Fu
Yilin Miao
George Konidaris
33
3
0
03 Apr 2024
Meta-Learning Parameterized Skills
Meta-Learning Parameterized Skills
Haotian Fu
Shangqun Yu
Saket Tiwari
Michael Littman
George Konidaris
40
6
0
07 Jun 2022
Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate
  Feature Compression and Edge Learning
Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Learning
Zhiwei Hao
Guanyu Xu
Yong Luo
Han Hu
Jianping An
Shiwen Mao
35
22
0
24 May 2022
SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement
  Learning
SAGE: Generating Symbolic Goals for Myopic Models in Deep Reinforcement Learning
A. Chester
Michael Dann
Fabio Zambetta
John Thangarajah
11
0
0
09 Mar 2022
One model Packs Thousands of Items with Recurrent Conditional Query
  Learning
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
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives
Murtaza Dalal
Deepak Pathak
Ruslan Salakhutdinov
45
90
0
28 Oct 2021
Learning Insertion Primitives with Discrete-Continuous Hybrid Action
  Space for Robotic Assembly Tasks
Learning Insertion Primitives with Discrete-Continuous Hybrid Action Space for Robotic Assembly Tasks
Yongyu Wang
Shiyu Jin
Changhao Wang
Xinghao Zhu
Masayoshi Tomizuka
34
42
0
25 Oct 2021
Deep hierarchical reinforcement agents for automated penetration testing
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
48
38
0
14 Sep 2021
HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via
  Hybrid Action Representation
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
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
29
32
0
31 Mar 2021
Continuous-Discrete Reinforcement Learning for Hybrid Control in
  Robotics
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
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