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1912.10944
Cited By
A Survey of Deep Reinforcement Learning in Video Games
23 December 2019
Kun Shao
Zhentao Tang
Yuanheng Zhu
Nannan Li
Dongbin Zhao
OffRL
AI4TS
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Papers citing
"A Survey of Deep Reinforcement Learning in Video Games"
50 / 63 papers shown
Title
R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning
Yi-Fan Zhang
Xingyu Lu
X. Hu
Chaoyou Fu
Bin Wen
...
J. Chen
Fan Yang
Z. Zhang
Tingting Gao
Liang Wang
OffRL
LRM
41
0
0
05 May 2025
Cognitive Science-Inspired Evaluation of Core Capabilities for Object Understanding in AI
Danaja Rutar
Alva Markelius
Konstantinos Voudouris
José Hernández Orallo
Lucy G. Cheke
OCL
ELM
56
0
0
27 Mar 2025
Safety Representations for Safer Policy Learning
Kaustubh Mani
Vincent Mai
Charlie Gauthier
Annie Chen
Samer Nashed
Liam Paull
38
0
0
27 Feb 2025
Reinforcement Learning in Strategy-Based and Atari Games: A Review of Google DeepMinds Innovations
Abdelrhman Shaheen
Anas Badr
Ali Abohendy
Hatem Alsaadawy
Nadine Alsayad
57
0
0
14 Feb 2025
Pareto Set Learning for Multi-Objective Reinforcement Learning
Erlong Liu
Yu-Chang Wu
Xiaobin Huang
Chengrui Gao
Ren-Jian Wang
Ke Xue
Chao Qian
OffRL
42
2
0
12 Jan 2025
Resource Governance in Networked Systems via Integrated Variational Autoencoders and Reinforcement Learning
Qiliang Chen
Babak Heydari
DRL
32
0
0
30 Oct 2024
Enhancing Two-Player Performance Through Single-Player Knowledge Transfer: An Empirical Study on Atari 2600 Games
Kimiya Saadat
Richard Zhao
19
0
0
22 Oct 2024
Urban Computing for Climate and Environmental Justice: Early Perspectives From Two Research Initiatives
Carolina Veiga
Ashish Sharma
Daniel de Oliveira
Marcos Lage
Fabio Miranda
AI4CE
37
0
0
06 Oct 2024
LLMs May Not Be Human-Level Players, But They Can Be Testers: Measuring Game Difficulty with LLM Agents
Chang Xiao
Brenda Z. Yang
LLMAG
37
2
0
01 Oct 2024
Grounded Curriculum Learning
Linji Wang
Zifan Xu
Peter Stone
Xuesu Xiao
32
8
0
29 Sep 2024
Advances in Preference-based Reinforcement Learning: A Review
Youssef Abdelkareem
Shady Shehata
Fakhri Karray
OffRL
46
9
0
21 Aug 2024
Meta SAC-Lag: Towards Deployable Safe Reinforcement Learning via MetaGradient-based Hyperparameter Tuning
Homayoun Honari
Amir M. Soufi Enayati
Mehran Ghafarian Tamizi
H. Najjaran
42
1
0
15 Aug 2024
Personalized Dynamic Difficulty Adjustment -- Imitation Learning Meets Reinforcement Learning
Ronja Fuchs
Robin Gieseke
Alexander Dockhorn
16
1
0
13 Aug 2024
How to Choose a Reinforcement-Learning Algorithm
Fabian Bongratz
Vladimir Golkov
Lukas Mautner
Luca Della Libera
Frederik Heetmeyer
Felix Czaja
Julian Rodemann
Daniel Cremers
21
1
0
30 Jul 2024
Explainable Post hoc Portfolio Management Financial Policy of a Deep Reinforcement Learning agent
Alejandra de la Rica Escudero
E.C. Garrido-Merchán
Maria Coronado Vaca
AIFin
29
2
0
19 Jul 2024
Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking
Roland Stolz
Hanna Krasowski
Jakob Thumm
Michael Eichelbeck
Philipp Gassert
Matthias Althoff
CLL
19
2
0
06 Jun 2024
Knowledge-Informed Auto-Penetration Testing Based on Reinforcement Learning with Reward Machine
Yuanliang Li
Hanzheng Dai
Jun Yan
25
3
0
24 May 2024
Parametric PDE Control with Deep Reinforcement Learning and Differentiable L0-Sparse Polynomial Policies
N. Botteghi
Urban Fasel
AI4CE
27
6
0
22 Mar 2024
OIL-AD: An Anomaly Detection Framework for Sequential Decision Sequences
Chen Wang
S. Erfani
T. Alpcan
Christopher Leckie
OffRL
19
1
0
07 Feb 2024
An investigation of belief-free DRL and MCTS for inspection and maintenance planning
Daniel Koutas
E. Bismut
Daniel Straub
14
2
0
22 Dec 2023
Reward Shaping for Improved Learning in Real-time Strategy Game Play
John Kliem
Prithviraj Dasgupta
OffRL
11
1
0
27 Nov 2023
Over-the-air Federated Policy Gradient
Huiwen Yang
Lingying Huang
S. Dey
Ling Shi
16
0
0
25 Oct 2023
Deploying Deep Reinforcement Learning Systems: A Taxonomy of Challenges
Ahmed Haj Yahmed
Altaf Allah Abbassi
Amin Nikanjam
Heng Li
Foutse Khomh
OffRL
13
5
0
23 Aug 2023
RL-LABEL: A Deep Reinforcement Learning Approach Intended for AR Label Placement in Dynamic Scenarios
Zhutian Chen
Daniele Chiappalupi
Tica Lin
Yalong Yang
Johanna Beyer
Hanspeter Pfister
OffRL
18
4
0
20 Aug 2023
Transformers in Reinforcement Learning: A Survey
Pranav Agarwal
A. Rahman
P. St-Charles
Simon J. D. Prince
Samira Ebrahimi Kahou
OffRL
24
18
0
12 Jul 2023
Action Q-Transformer: Visual Explanation in Deep Reinforcement Learning with Encoder-Decoder Model using Action Query
Hidenori Itaya
Tsubasa Hirakawa
Takayoshi Yamashita
H. Fujiyoshi
K. Sugiura
OffRL
23
0
0
24 Jun 2023
Comprehensive Training and Evaluation on Deep Reinforcement Learning for Automated Driving in Various Simulated Driving Maneuvers
Yongqi Dong
Tobias Datema
Vincent Wassenaar
Joris van de Weg
Cahit Tolga Kopar
Harim Suleman
OffRL
14
0
0
20 Jun 2023
ROSARL: Reward-Only Safe Reinforcement Learning
Geraud Nangue Tasse
Tamlin Love
Mark W. Nemecek
Steven D. James
Benjamin Rosman
13
3
0
31 May 2023
Games for Artificial Intelligence Research: A Review and Perspectives
Chengpeng Hu
Yunlong Zhao
Ziqi Wang
Haocheng Du
Jialin Liu
AI4CE
33
11
0
26 Apr 2023
Understanding Reinforcement Learning Algorithms: The Progress from Basic Q-learning to Proximal Policy Optimization
M. Chadi
H. Mousannif
OffRL
13
4
0
31 Mar 2023
A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV Air-to-Air Combat
Jiajun Chai
Wenzhang Chen
Yuanheng Zhu
Zonggui Yao
Dongbin Zhao
BDL
6
32
0
05 Dec 2022
Multi-Agent Reinforcement Learning with Reward Delays
Yuyang Zhang
Runyu Zhang
Yu Gu
Na Li
16
8
0
02 Dec 2022
Design Process is a Reinforcement Learning Problem
Reza kakooee
Benjamin Dillunberger
OffRL
19
0
0
06 Nov 2022
Geometry and convergence of natural policy gradient methods
Johannes Muller
Guido Montúfar
8
9
0
03 Nov 2022
Disentangling Transfer in Continual Reinforcement Learning
Maciej Wołczyk
Michal Zajkac
Razvan Pascanu
Lukasz Kuciñski
Piotr Milo's
CLL
60
27
0
28 Sep 2022
A new Reinforcement Learning framework to discover natural flavor molecules
Luana P. Queiroz
C. Rebello
É. Costa
Vinícius V. Santana
Bruno C. L. Rodrigues
A. Rodrigues
A. M. Ribeiro
Idelfonso B. R. Nogueira
14
1
0
13 Sep 2022
Incorporating Rivalry in Reinforcement Learning for a Competitive Game
Pablo V. A. Barros
Ö. Yalçın
Ana Tanevska
A. Sciutti
12
4
0
22 Aug 2022
PD-MORL: Preference-Driven Multi-Objective Reinforcement Learning Algorithm
T. Basaklar
S. Gumussoy
Ümit Y. Ogras
12
37
0
16 Aug 2022
Bayesian Soft Actor-Critic: A Directed Acyclic Strategy Graph Based Deep Reinforcement Learning
Qin Yang
Ramviyas Parasuraman
BDL
14
0
0
11 Aug 2022
RangL: A Reinforcement Learning Competition Platform
Viktor Zobernig
Richard A. Saldanha
Jinke He
E. V. D. Sar
J. V. Doorn
...
Alessandro Zocca
S. Bhulai
Jorge Montalvo Arvizu
Claude Klöckl
John Moriarty
14
1
0
28 Jul 2022
Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning
Gaurav R. Bagwe
Xianhao Chen
Xiaoyong Yuan
Lan Zhang
28
4
0
21 Jul 2022
Inspector: Pixel-Based Automated Game Testing via Exploration, Detection, and Investigation
Guoqing Liu
Mengzhang Cai
Li Zhao
Tao Qin
Adrian Brown
Jimmy Bischoff
Tie-Yan Liu
14
7
0
18 Jul 2022
Deep Reinforcement Learning Using a Low-Dimensional Observation Filter for Visual Complex Video Game Playing
V. A. Kich
J. C. Jesus
Ricardo B. Grando
A. H. Kolling
Gabriel V. Heisler
R. S. Guerra
OffRL
14
2
0
24 Apr 2022
Machine Learning in Aerodynamic Shape Optimization
Ji-chao Li
Xiaosong Du
J. Martins
AI4CE
13
184
0
15 Feb 2022
Direct Behavior Specification via Constrained Reinforcement Learning
Julien Roy
Roger Girgis
Joshua Romoff
Pierre-Luc Bacon
C. Pal
9
33
0
22 Dec 2021
Deep Q-Learning Market Makers in a Multi-Agent Simulated Stock Market
Oscar Vicente
Fernando Fernández Rebollo
Francisco Javier García-Polo
AIFin
14
2
0
08 Dec 2021
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey
Amjad Yousef Majid
Serge Saaybi
Tomas van Rietbergen
Vincent François-Lavet
R. V. Prasad
Chris Verhoeven
OffRL
52
54
0
28 Sep 2021
An Approach to Partial Observability in Games: Learning to Both Act and Observe
Elizabeth Gilmour
Noah Plotkin
L. Smith
6
1
0
11 Aug 2021
A Computational Model of Representation Learning in the Brain Cortex, Integrating Unsupervised and Reinforcement Learning
Giovanni Granato
Emilio Cartoni
Federico Da Rold
A. Mattera
Gianluca Baldassarre
SSL
13
1
0
07 Jun 2021
Online reinforcement learning with sparse rewards through an active inference capsule
Alejandro Daniel Noel
C. V. Hoof
Beren Millidge
OffRL
14
7
0
04 Jun 2021
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