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Discrete and Continuous Action Representation for Practical RL in Video
  Games

Discrete and Continuous Action Representation for Practical RL in Video Games

23 December 2019
Olivier Delalleau
Maxim Peter
Eloi Alonso
Adrien Logut
ArXivPDFHTML

Papers citing "Discrete and Continuous Action Representation for Practical RL in Video Games"

13 / 13 papers shown
Title
A learning-based approach to stochastic optimal control under reach-avoid constraint
A learning-based approach to stochastic optimal control under reach-avoid constraint
Tingting Ni
Maryam Kamgarpour
85
0
0
21 Dec 2024
Robust Imitation Learning for Automated Game Testing
Robust Imitation Learning for Automated Game Testing
P. Amadori
Timothy Bradley
Ryan Spick
Guy Moss
29
1
0
09 Jan 2024
Virtual Guidance as a Mid-level Representation for Navigation with Augmented Reality
Virtual Guidance as a Mid-level Representation for Navigation with Augmented Reality
Hsuan-Kung Yang
Tsung-Chih Chiang
Tingxin Liu
Chun-Wei Huang
Jou-Min Liu
Tsu-Ching Hsiao
Chun-Yi Lee
28
1
0
05 Mar 2023
Computational Discovery of Energy-Efficient Heat Treatment for
  Microstructure Design using Deep Reinforcement Learning
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
A further exploration of deep Multi-Agent Reinforcement Learning with
  Hybrid Action Space
A further exploration of deep Multi-Agent Reinforcement Learning with Hybrid Action Space
Hongzhi Hua
Guixuan Wen
Kaigui Wu
27
1
0
30 Aug 2022
Deep Multi-Agent Reinforcement Learning with Hybrid Action Spaces based
  on Maximum Entropy
Deep Multi-Agent Reinforcement Learning with Hybrid Action Spaces based on Maximum Entropy
Hongzhi Hua
Kaigui Wu
Guixuan Wen
24
0
0
10 Jun 2022
Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum
  Circuits
Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum Circuits
Jiahao Yao
Haoya Li
Marin Bukov
Lin Lin
Lexing Ying
16
15
0
30 Mar 2022
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
26
42
0
25 Oct 2021
Hierarchical Skills for Efficient Exploration
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
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
Soft Actor-Critic With Integer Actions
Soft Actor-Critic With Integer Actions
Ting-Han Fan
Yubo Wang
30
12
0
17 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
34
42
0
12 Sep 2021
Soft Actor-Critic for Discrete Action Settings
Soft Actor-Critic for Discrete Action Settings
Petros Christodoulou
OffRL
104
292
0
16 Oct 2019
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