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StarCraft II: A New Challenge for Reinforcement Learning

StarCraft II: A New Challenge for Reinforcement Learning

16 August 2017
Oriol Vinyals
T. Ewalds
Sergey Bartunov
Petko Georgiev
A. Vezhnevets
Michelle Yeo
Alireza Makhzani
Heinrich Küttler
J. Agapiou
Julian Schrittwieser
John Quan
Stephen Gaffney
Stig Petersen
Karen Simonyan
Tom Schaul
H. V. Hasselt
David Silver
Timothy Lillicrap
Kevin Calderone
Paul Keet
Anthony Brunasso
David Lawrence
Anders Ekermo
J. Repp
Rodney Tsing
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Papers citing "StarCraft II: A New Challenge for Reinforcement Learning"

50 / 163 papers shown
Title
Learning Variational Inequalities from Data: Fast Generalization Rates under Strong Monotonicity
Learning Variational Inequalities from Data: Fast Generalization Rates under Strong Monotonicity
Eric Zhao
Tatjana Chavdarova
Michael I. Jordan
50
0
0
20 Feb 2025
Reflection of Episodes: Learning to Play Game from Expert and Self Experiences
Reflection of Episodes: Learning to Play Game from Expert and Self Experiences
Xiaojie Xu
Zongyuan Li
Chang Lu
Runnan Qi
Yanan Ni
...
Yongchun Fang
Kuihua Huang
Xian Guo
Zhanghua Wu
Zhenya Li
57
0
0
19 Feb 2025
Reducing Action Space for Deep Reinforcement Learning via Causal Effect Estimation
Reducing Action Space for Deep Reinforcement Learning via Causal Effect Estimation
Wenzhang Liu
Lianjun Jin
Lu Ren
Chaoxu Mu
Changyin Sun
CML
53
0
0
24 Jan 2025
CREW: Facilitating Human-AI Teaming Research
CREW: Facilitating Human-AI Teaming Research
Lingyu Zhang
Zhengran Ji
Boyuan Chen
54
3
0
03 Jan 2025
Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution
Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution
Ke Xue
Yutong Wang
Cong Guan
Lei Yuan
Haobo Fu
Qiang Fu
Chao Qian
Yang Yu
42
17
0
03 Jan 2025
Human-like Bots for Tactical Shooters Using Compute-Efficient Sensors
Niels Justesen
Maria Kaselimi
Sam Snodgrass
Miruna Vozaru
Matthew Schlegel
...
Albert Wang
Christoffer Holmgård
Georgios N. Yannakakis
S. Risi
Julian Togelius
57
0
0
03 Jan 2025
LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation
LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation
Bowen Li
Zhaoyu Li
Qiwei Du
Jinqi Luo
Wenshan Wang
...
Katia Sycara
Pradeep Kumar Ravikumar
Alexander G. Gray
X. Si
Sebastian A. Scherer
AI4CE
LRM
81
3
0
01 Nov 2024
GPT for Games: An Updated Scoping Review (2020-2024)
GPT for Games: An Updated Scoping Review (2020-2024)
Daijin Yang
Erica Kleinman
Casper Harteveld
LLMAG
AI4TS
AI4CE
54
3
0
01 Nov 2024
Entity-based Reinforcement Learning for Autonomous Cyber Defence
Entity-based Reinforcement Learning for Autonomous Cyber Defence
Isaac Symes Thompson
Alberto Caron
Chris Hicks
V. Mavroudis
AAML
56
3
0
23 Oct 2024
Applying Action Masking and Curriculum Learning Techniques to Improve
  Data Efficiency and Overall Performance in Operational Technology Cyber
  Security using Reinforcement Learning
Applying Action Masking and Curriculum Learning Techniques to Improve Data Efficiency and Overall Performance in Operational Technology Cyber Security using Reinforcement Learning
Alec Wilson
William Holmes
Ryan Menzies
Kez Smithson Whitehead
33
0
0
13 Sep 2024
ARCLE: The Abstraction and Reasoning Corpus Learning Environment for
  Reinforcement Learning
ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning
Hosung Lee
Sejin Kim
Seungpil Lee
Sanha Hwang
Jihwan Lee
Byung-Jun Lee
Sundong Kim
LRM
41
8
0
30 Jul 2024
Structural Generalization in Autonomous Cyber Incident Response with
  Message-Passing Neural Networks and Reinforcement Learning
Structural Generalization in Autonomous Cyber Incident Response with Message-Passing Neural Networks and Reinforcement Learning
Jakob Nyberg
Pontus Johnson
41
1
0
08 Jul 2024
Multi-State-Action Tokenisation in Decision Transformers for
  Multi-Discrete Action Spaces
Multi-State-Action Tokenisation in Decision Transformers for Multi-Discrete Action Spaces
Perusha Moodley
Pramod S. Kaushik
Dhillu Thambi
Mark Trovinger
Praveen Paruchuri
Xia Hong
Benjamin Rosman
67
0
0
01 Jul 2024
Mix Q-learning for Lane Changing: A Collaborative Decision-Making Method
  in Multi-Agent Deep Reinforcement Learning
Mix Q-learning for Lane Changing: A Collaborative Decision-Making Method in Multi-Agent Deep Reinforcement Learning
Xiaojun Bi
Mingjie He
Yiwen Sun
28
1
0
14 Jun 2024
Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf
Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf
Xuanfa Jin
Ziyan Wang
Yali Du
Meng Fang
Haifeng Zhang
Jun Wang
OffRL
LLMAG
59
6
0
30 May 2024
SwiftRL: Towards Efficient Reinforcement Learning on Real
  Processing-In-Memory Systems
SwiftRL: Towards Efficient Reinforcement Learning on Real Processing-In-Memory Systems
Kailash Gogineni
Sai Santosh Dayapule
Juan Gómez Luna
Karthikeya Gogineni
Peng Wei
Tian-Shing Lan
Mohammad Sadrosadati
Onur Mutlu
Guru Venkataramani
55
11
0
07 May 2024
Adversarial Attacks on Reinforcement Learning Agents for Command and
  Control
Adversarial Attacks on Reinforcement Learning Agents for Command and Control
Ahaan Dabholkar
James Z. Hare
Mark R. Mittrick
John Richardson
Nick Waytowich
Priya Narayanan
Saurabh Bagchi
AAML
39
1
0
02 May 2024
Egret: Reinforcement Mechanism for Sequential Computation Offloading in
  Edge Computing
Egret: Reinforcement Mechanism for Sequential Computation Offloading in Edge Computing
Haosong Peng
Yufeng Zhan
Dihua Zhai
Xiaopu Zhang
Yuanqing Xia
33
1
0
14 Apr 2024
A Survey on Large Language Model-Based Game Agents
A Survey on Large Language Model-Based Game Agents
Sihao Hu
Tiansheng Huang
Gaowen Liu
Ramana Rao Kompella
Gaowen Liu
Selim Furkan Tekin
Yichang Xu
Zachary Yahn
Ling Liu
LLMAG
LM&Ro
AI4CE
LM&MA
71
52
0
02 Apr 2024
Instruction-Driven Game Engines on Large Language Models
Instruction-Driven Game Engines on Large Language Models
Hongqiu Wu
Xing-Chen Liu
Haizhen Zhao
Min Zhang
44
1
0
30 Mar 2024
SMAUG: A Sliding Multidimensional Task Window-Based MARL Framework for
  Adaptive Real-Time Subtask Recognition
SMAUG: A Sliding Multidimensional Task Window-Based MARL Framework for Adaptive Real-Time Subtask Recognition
Wenjing Zhang
Wei Zhang
47
0
0
04 Mar 2024
Leveraging Team Correlation for Approximating Equilibrium in Two-Team
  Zero-Sum Games
Leveraging Team Correlation for Approximating Equilibrium in Two-Team Zero-Sum Games
Naming Liu
Mingzhi Wang
Youzhi Zhang
Yaodong Yang
Bo An
Ying Wen
39
0
0
01 Mar 2024
COA-GPT: Generative Pre-trained Transformers for Accelerated Course of
  Action Development in Military Operations
COA-GPT: Generative Pre-trained Transformers for Accelerated Course of Action Development in Military Operations
Vinicius G. Goecks
Nicholas R. Waytowich
SLR
48
7
0
01 Feb 2024
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems
Eduardo Sebastián
T. Duong
Nikolay Atanasov
Eduardo Montijano
C. Sagüés
36
3
0
30 Dec 2023
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
Wenzhang Liu
Wenzhe Cai
Kun Jiang
Guangran Cheng
Yuanda Wang
Changyin Sun
Jingyu Cao
Lele Xu
Chaoxu Mu
Changyin Sun
39
4
0
25 Dec 2023
Deciphering Digital Detectives: Understanding LLM Behaviors and
  Capabilities in Multi-Agent Mystery Games
Deciphering Digital Detectives: Understanding LLM Behaviors and Capabilities in Multi-Agent Mystery Games
Dekun Wu
Haochen Shi
Zhiyuan Sun
Bang Liu
LLMAG
29
17
0
01 Dec 2023
Scalable Semantic Non-Markovian Simulation Proxy for Reinforcement
  Learning
Scalable Semantic Non-Markovian Simulation Proxy for Reinforcement Learning
Kaustuv Mukherji
Devendra Parkar
Lahari Pokala
Dyuman Aditya
Paulo Shakarian
Clark Dorman
24
2
0
10 Oct 2023
AI planning in the imagination: High-level planning on learned abstract
  search spaces
AI planning in the imagination: High-level planning on learned abstract search spaces
Carlos Martin
T. Sandholm
37
0
0
16 Aug 2023
Large Language Models and Foundation Models in Smart Agriculture:
  Basics, Opportunities, and Challenges
Large Language Models and Foundation Models in Smart Agriculture: Basics, Opportunities, and Challenges
Jiajia Li
Mingle Xu
Lirong Xiang
Dong Chen
Weichao Zhuang
Xunyuan Yin
Zhao Li
39
3
0
13 Aug 2023
Early Neuron Alignment in Two-layer ReLU Networks with Small
  Initialization
Early Neuron Alignment in Two-layer ReLU Networks with Small Initialization
Hancheng Min
Enrique Mallada
René Vidal
MLT
38
19
0
24 Jul 2023
Robotic Manipulation Datasets for Offline Compositional Reinforcement
  Learning
Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning
Marcel Hussing
Jorge Armando Mendez Mendez
Anisha Singrodia
Cassandra Kent
Eric Eaton
OffRL
35
5
0
13 Jul 2023
Multi-Player Zero-Sum Markov Games with Networked Separable Interactions
Multi-Player Zero-Sum Markov Games with Networked Separable Interactions
Chanwoo Park
Kaipeng Zhang
Asuman Ozdaglar
35
8
0
13 Jul 2023
Transformers in Reinforcement Learning: A Survey
Transformers in Reinforcement Learning: A Survey
Pranav Agarwal
A. Rahman
P. St-Charles
Simon J. D. Prince
Samira Ebrahimi Kahou
OffRL
35
19
0
12 Jul 2023
On the Linear Convergence of Policy Gradient under Hadamard
  Parameterization
On the Linear Convergence of Policy Gradient under Hadamard Parameterization
Jiacai Liu
Jinchi Chen
Ke Wei
29
2
0
31 May 2023
A Domain-Agnostic Approach for Characterization of Lifelong Learning
  Systems
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems
Megan M. Baker
Alexander New
Mario Aguilar-Simon
Ziad Al-Halah
Sébastien M. R. Arnold
...
Zifan Xu
A. Yanguas-Gil
Harel Yedidsion
Shangqun Yu
Gautam K. Vallabha
35
16
0
18 Jan 2023
Learning to solve arithmetic problems with a virtual abacus
Learning to solve arithmetic problems with a virtual abacus
Flavio Petruzzellis
Ling-Hao Chen
Alberto Testolin
34
1
0
17 Jan 2023
Ithaca. A Tool for Integrating Fuzzy Logic in Unity
Ithaca. A Tool for Integrating Fuzzy Logic in Unity
Alfonso Tejedor Moreno
J. A. Piedra-Fernandez
J. J. Ojeda-Castelo
L. Iribarne
28
0
0
01 Jan 2023
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement
  Learning
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning
Benjamin Ellis
Jonathan Cook
S. Moalla
Mikayel Samvelyan
Mingfei Sun
Anuj Mahajan
Jakob N. Foerster
Shimon Whiteson
33
84
0
14 Dec 2022
System Design for an Integrated Lifelong Reinforcement Learning Agent
  for Real-Time Strategy Games
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games
Indranil Sur
Z. Daniels
Abrar Rahman
Kamil Faber
Gianmarco J. Gallardo
...
Roberto Corizzo
Ajay Divakaran
M. Piacentino
Jesse Hostetler
Aswin Raghavan
CLL
OffRL
41
4
0
08 Dec 2022
Inapplicable Actions Learning for Knowledge Transfer in Reinforcement
  Learning
Inapplicable Actions Learning for Knowledge Transfer in Reinforcement Learning
Leo Ardon
Alberto Pozanco
Daniel Borrajo
Sumitra Ganesh
OffRL
23
0
0
28 Nov 2022
Linear Reinforcement Learning with Ball Structure Action Space
Linear Reinforcement Learning with Ball Structure Action Space
Zeyu Jia
Randy Jia
Dhruv Madeka
Dean Phillips Foster
31
1
0
14 Nov 2022
Global and Local Analysis of Interestingness for Competency-Aware Deep
  Reinforcement Learning
Global and Local Analysis of Interestingness for Competency-Aware Deep Reinforcement Learning
Pedro Sequeira
Jesse Hostetler
Melinda Gervasio
18
0
0
11 Nov 2022
Predictive Coding beyond Gaussian Distributions
Predictive Coding beyond Gaussian Distributions
Luca Pinchetti
Tommaso Salvatori
Yordan Yordanov
Beren Millidge
Yuhang Song
Thomas Lukasiewicz
UQCV
BDL
32
11
0
07 Nov 2022
Redefining Counterfactual Explanations for Reinforcement Learning:
  Overview, Challenges and Opportunities
Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities
Jasmina Gajcin
Ivana Dusparic
CML
OffRL
37
8
0
21 Oct 2022
Stateful active facilitator: Coordination and Environmental
  Heterogeneity in Cooperative Multi-Agent Reinforcement Learning
Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning
Dianbo Liu
Vedant Shah
Oussama Boussif
Cristian Meo
Anirudh Goyal
Tianmin Shu
Michael C. Mozer
N. Heess
Yoshua Bengio
34
7
0
04 Oct 2022
Hearts Gym: Learning Reinforcement Learning as a Team Event
Hearts Gym: Learning Reinforcement Learning as a Team Event
Jana Ebert
Danimir T. Doncevic
R. Kloss
Stefan Kesselheim
OffRL
29
0
0
07 Sep 2022
Model-Free Generative Replay for Lifelong Reinforcement Learning:
  Application to Starcraft-2
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2
Z. Daniels
Aswin Raghavan
Jesse Hostetler
Abrar Rahman
Indranil Sur
M. Piacentino
Ajay Divakaran
CLL
OffRL
36
12
0
09 Aug 2022
Learning to Generalize with Object-centric Agents in the Open World
  Survival Game Crafter
Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter
Aleksandar Stanić
Yujin Tang
David R Ha
Jürgen Schmidhuber
ELM
29
13
0
05 Aug 2022
A Cooperation Graph Approach for Multiagent Sparse Reward Reinforcement
  Learning
A Cooperation Graph Approach for Multiagent Sparse Reward Reinforcement Learning
Qing Fu
Tenghai Qiu
Zhiqiang Pu
Jianqiang Yi
Wanmai Yuan
36
2
0
05 Aug 2022
A Deep Reinforcement Learning Approach for Finding Non-Exploitable
  Strategies in Two-Player Atari Games
A Deep Reinforcement Learning Approach for Finding Non-Exploitable Strategies in Two-Player Atari Games
Zihan Ding
DiJia Su
Qinghua Liu
Chi Jin
33
3
0
18 Jul 2022
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