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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
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
178
3
0
20 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
101
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
60
4
0
17 Sep 2024
Hierarchical Approaches for Reinforcement Learning in Parameterized
  Action Space
Hierarchical Approaches for Reinforcement Learning in Parameterized Action Space
E. Wei
Drew Wicke
S. Luke
BDL
54
35
0
23 Oct 2018
Parametrized Deep Q-Networks Learning: Reinforcement Learning with
  Discrete-Continuous Hybrid Action Space
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
46
170
0
10 Oct 2018
StarCraft II: A New Challenge for Reinforcement Learning
StarCraft II: A New Challenge for Reinforcement Learning
Oriol Vinyals
T. Ewalds
Sergey Bartunov
Petko Georgiev
A. Vezhnevets
...
Anthony Brunasso
David Lawrence
Anders Ekermo
J. Repp
Rodney Tsing
66
868
0
16 Aug 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
285
18,685
0
20 Jul 2017
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
170
8,805
0
04 Feb 2016
Dueling Network Architectures for Deep Reinforcement Learning
Dueling Network Architectures for Deep Reinforcement Learning
Ziyun Wang
Tom Schaul
Matteo Hessel
H. V. Hasselt
Marc Lanctot
Nando de Freitas
OffRL
74
3,742
0
20 Nov 2015
Deep Reinforcement Learning in Parameterized Action Space
Deep Reinforcement Learning in Parameterized Action Space
Matthew J. Hausknecht
Peter Stone
48
307
0
13 Nov 2015
Learning Continuous Control Policies by Stochastic Value Gradients
Learning Continuous Control Policies by Stochastic Value Gradients
N. Heess
Greg Wayne
David Silver
Timothy Lillicrap
Yuval Tassa
Tom Erez
95
560
0
30 Oct 2015
Deep Reinforcement Learning with Double Q-learning
Deep Reinforcement Learning with Double Q-learning
H. V. Hasselt
A. Guez
David Silver
OffRL
146
7,590
0
22 Sep 2015
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
260
13,174
0
09 Sep 2015
Reinforcement Learning with Parameterized Actions
Reinforcement Learning with Parameterized Actions
W. Masson
Pravesh Ranchod
George Konidaris
110
208
0
05 Sep 2015
Trust Region Policy Optimization
Trust Region Policy Optimization
John Schulman
Sergey Levine
Philipp Moritz
Michael I. Jordan
Pieter Abbeel
254
6,722
0
19 Feb 2015
Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
112
12,163
0
19 Dec 2013
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