ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1708.04782
  4. Cited By
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
ArXivPDFHTML

Papers citing "StarCraft II: A New Challenge for Reinforcement Learning"

50 / 163 papers shown
Title
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on
  Continual Learning and Functional Composition
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition
Jorge Armando Mendez Mendez
Eric Eaton
KELM
CLL
37
27
0
15 Jul 2022
Outcome-Guided Counterfactuals for Reinforcement Learning Agents from a
  Jointly Trained Generative Latent Space
Outcome-Guided Counterfactuals for Reinforcement Learning Agents from a Jointly Trained Generative Latent Space
Eric Yeh
Pedro Sequeira
Jesse Hostetler
Melinda Gervasio
OOD
CML
BDL
OffRL
25
2
0
15 Jul 2022
Unsupervised Hebbian Learning on Point Sets in StarCraft II
Unsupervised Hebbian Learning on Point Sets in StarCraft II
Beomseok Kang
H. Kumar
Saurabh Dash
Saibal Mukhopadhyay
SSL
23
6
0
13 Jul 2022
Offline Equilibrium Finding
Offline Equilibrium Finding
Shuxin Li
Xinrun Wang
Youzhi Zhang
Jakub Cerny
Pengdeng Li
Hau Chan
Bo An
OffRL
48
2
0
12 Jul 2022
On the Limitations of Elo: Real-World Games, are Transitive, not
  Additive
On the Limitations of Elo: Real-World Games, are Transitive, not Additive
Quentin Bertrand
Wojciech M. Czarnecki
Gauthier Gidel
21
22
0
21 Jun 2022
Social Network Structure Shapes Innovation: Experience-sharing in RL
  with SAPIENS
Social Network Structure Shapes Innovation: Experience-sharing in RL with SAPIENS
Eleni Nisioti
Matéo Mahaut
Pierre-Yves Oudeyer
Ida Momennejad
Clément Moulin-Frier
27
9
0
10 Jun 2022
BulletArm: An Open-Source Robotic Manipulation Benchmark and Learning
  Framework
BulletArm: An Open-Source Robotic Manipulation Benchmark and Learning Framework
Dian Wang
Colin Kohler
Xu Zhu
Ming Jia
Robert Platt
32
9
0
28 May 2022
Routing and Placement of Macros using Deep Reinforcement Learning
Routing and Placement of Macros using Deep Reinforcement Learning
Mrinal Mathur
16
0
0
19 May 2022
Learning to Guide Multiple Heterogeneous Actors from a Single Human
  Demonstration via Automatic Curriculum Learning in StarCraft II
Learning to Guide Multiple Heterogeneous Actors from a Single Human Demonstration via Automatic Curriculum Learning in StarCraft II
Nicholas R. Waytowich
James Z. Hare
Vinicius G. Goecks
Mark R. Mittrick
John Richardson
Anjon Basak
Derrik E. Asher
43
2
0
11 May 2022
Deep Reinforcement Learning Using a Low-Dimensional Observation Filter
  for Visual Complex Video Game Playing
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
30
2
0
24 Apr 2022
Full-Spectrum Out-of-Distribution Detection
Full-Spectrum Out-of-Distribution Detection
Jingkang Yang
Kaiyang Zhou
Ziwei Liu
OODD
45
57
0
11 Apr 2022
Continuously Discovering Novel Strategies via Reward-Switching Policy
  Optimization
Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization
Zihan Zhou
Wei Fu
Bingliang Zhang
Yi Wu
27
28
0
04 Apr 2022
An Optical Control Environment for Benchmarking Reinforcement Learning
  Algorithms
An Optical Control Environment for Benchmarking Reinforcement Learning Algorithms
Abulikemu Abuduweili
Changliu Liu
24
1
0
23 Mar 2022
Reinforcement learning for automatic quadrilateral mesh generation: a
  soft actor-critic approach
Reinforcement learning for automatic quadrilateral mesh generation: a soft actor-critic approach
J. Pan
Jingwei Huang
G. Cheng
Yong Zeng
AI4CE
24
40
0
19 Mar 2022
Zipfian environments for Reinforcement Learning
Zipfian environments for Reinforcement Learning
Stephanie C. Y. Chan
Andrew Kyle Lampinen
Pierre Harvey Richemond
Felix Hill
OffRL
15
15
0
15 Mar 2022
Transfer Dynamics in Emergent Evolutionary Curricula
Transfer Dynamics in Emergent Evolutionary Curricula
Aaron Dharna
Amy K. Hoover
Julian Togelius
Lisa Soros
27
6
0
03 Mar 2022
GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement
  Learning
GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning
Jingqing Ruan
Yali Du
Xuantang Xiong
Dengpeng Xing
Xiyun Li
Linghui Meng
Haifeng Zhang
Jun Wang
Bo Xu
46
29
0
17 Jan 2022
Iconary: A Pictionary-Based Game for Testing Multimodal Communication
  with Drawings and Text
Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text
Christopher Clark
Jordi Salvador
Dustin Schwenk
Derrick Bonafilia
Mark Yatskar
...
Aaron Sarnat
Hannaneh Hajishirzi
Aniruddha Kembhavi
Oren Etzioni
Ali Farhadi
MLLM
27
3
0
01 Dec 2021
Meta Arcade: A Configurable Environment Suite for Meta-Learning
Meta Arcade: A Configurable Environment Suite for Meta-Learning
Edward W. Staley
C. Ashcraft
Ben Stoler
Jared Markowitz
Gautam K. Vallabha
Christopher R. Ratto
Kapil D. Katyal
22
6
0
01 Dec 2021
Learning State Representations via Retracing in Reinforcement Learning
Learning State Representations via Retracing in Reinforcement Learning
Changmin Yu
Dong Li
Jianye Hao
Jun Wang
Neil Burgess
32
7
0
24 Nov 2021
Obstacle Avoidance for UAS in Continuous Action Space Using Deep
  Reinforcement Learning
Obstacle Avoidance for UAS in Continuous Action Space Using Deep Reinforcement Learning
Jueming Hu
Xuxi Yang
Weichang Wang
Peng Wei
Lei Ying
Yongming Liu
46
24
0
13 Nov 2021
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
193
881
0
21 Oct 2021
On games and simulators as a platform for development of artificial
  intelligence for command and control
On games and simulators as a platform for development of artificial intelligence for command and control
Vinicius G. Goecks
Nicholas R. Waytowich
Derrik E. Asher
Song Jun Park
Mark R. Mittrick
...
Anne Logie
Mark S. Dennison
T. Trout
Priya Narayanan
Alexander Kott
41
26
0
21 Oct 2021
CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual
  Reinforcement Learning Agents
CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents
Sam Powers
Eliot Xing
Eric Kolve
Roozbeh Mottaghi
Abhinav Gupta
OffRL
36
38
0
19 Oct 2021
GrowSpace: Learning How to Shape Plants
GrowSpace: Learning How to Shape Plants
Yasmeen Hitti
Ionelia Buzatu
Manuel Del Verme
M. Lefsrud
Florian Golemo
A. Durand
19
2
0
15 Oct 2021
Pick Your Battles: Interaction Graphs as Population-Level Objectives for
  Strategic Diversity
Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity
M. Garnelo
Wojciech M. Czarnecki
Siqi Liu
Dhruva Tirumala
Junhyuk Oh
Gauthier Gidel
H. V. Hasselt
David Balduzzi
34
25
0
08 Oct 2021
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning
  Research
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
Mikayel Samvelyan
Robert Kirk
Vitaly Kurin
Jack Parker-Holder
Minqi Jiang
Eric Hambro
Fabio Petroni
Heinrich Küttler
Edward Grefenstette
Tim Rocktaschel
OffRL
238
89
0
27 Sep 2021
Applying supervised and reinforcement learning methods to create
  neural-network-based agents for playing StarCraft II
Applying supervised and reinforcement learning methods to create neural-network-based agents for playing StarCraft II
Michal Opanowicz
23
0
0
26 Sep 2021
Explaining Bayesian Neural Networks
Explaining Bayesian Neural Networks
Kirill Bykov
Marina M.-C. Höhne
Adelaida Creosteanu
Klaus-Robert Muller
Frederick Klauschen
Shinichi Nakajima
Marius Kloft
BDL
AAML
36
25
0
23 Aug 2021
MimicBot: Combining Imitation and Reinforcement Learning to win in Bot
  Bowl
MimicBot: Combining Imitation and Reinforcement Learning to win in Bot Bowl
Nicola Pezzotti
30
1
0
21 Aug 2021
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework
  and Survey
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey
Richard Dazeley
Peter Vamplew
Francisco Cruz
32
60
0
20 Aug 2021
Decentralized Multi-AGV Task Allocation based on Multi-Agent
  Reinforcement Learning with Information Potential Field Rewards
Decentralized Multi-AGV Task Allocation based on Multi-Agent Reinforcement Learning with Information Potential Field Rewards
Mengyuan Li
Bin Guo
Jiangshan Zhang
Jiaqi Liu
Sicong Liu
Zhiwen Yu
Zhetao Li
Liyao Xiang
27
13
0
16 Aug 2021
Rethinking of AlphaStar
Rethinking of AlphaStar
Ruoxi Liu
29
2
0
07 Aug 2021
Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi
Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi
H. Siu
Jaime D. Peña
Edenna Chen
Yutai Zhou
Victor J. Lopez
Kyle Palko
K. Chang
R. Allen
27
57
0
15 Jul 2021
Computational Benefits of Intermediate Rewards for Goal-Reaching Policy
  Learning
Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning
Yuexiang Zhai
Christina Baek
Zhengyuan Zhou
Jiantao Jiao
Yi Ma
27
22
0
08 Jul 2021
Generalization of Reinforcement Learning with Policy-Aware Adversarial
  Data Augmentation
Generalization of Reinforcement Learning with Policy-Aware Adversarial Data Augmentation
Hanping Zhang
Yuhong Guo
30
23
0
29 Jun 2021
Brittle AI, Causal Confusion, and Bad Mental Models: Challenges and
  Successes in the XAI Program
Brittle AI, Causal Confusion, and Bad Mental Models: Challenges and Successes in the XAI Program
Jeff Druce
J. Niehaus
Vanessa Moody
David D. Jensen
Michael L. Littman
23
15
0
10 Jun 2021
Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit
  Assignment
Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment
Tianze Zhou
Fubiao Zhang
Kun Shao
Kai Li
Wenhan Huang
...
Hangyu Mao
Bin Wang
Dong Li
Wulong Liu
Jianye Hao
37
16
0
01 Jun 2021
Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural
  Architectures for Real-Time Strategy Games
Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural Architectures for Real-Time Strategy Games
Won Joon Yun
Sungwon Yi
Joongheon Kim
20
10
0
21 May 2021
HALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem
  Solving
HALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem Solving
Sirui Xie
Xiaojian Ma
Peiyu Yu
Yixin Zhu
Ying Nian Wu
Song-Chun Zhu
42
20
0
22 Feb 2021
Learning Skills to Navigate without a Master: A Sequential Multi-Policy
  Reinforcement Learning Algorithm
Learning Skills to Navigate without a Master: A Sequential Multi-Policy Reinforcement Learning Algorithm
Ambedkar Dukkipati
Rajarshi Banerjee
Ranga Shaarad Ayyagari
Dhaval Parmar Udaybhai
27
6
0
30 Jan 2021
Surface Electromyography as a Natural Human-Machine Interface: A Review
Surface Electromyography as a Natural Human-Machine Interface: A Review
Mingde Zheng
Michael S. Crouch
Michael S. Eggleston
48
76
0
12 Jan 2021
A novel policy for pre-trained Deep Reinforcement Learning for Speech
  Emotion Recognition
A novel policy for pre-trained Deep Reinforcement Learning for Speech Emotion Recognition
Thejan Rajapakshe
R. Rana
Sara Khalifa
Björn W. Schuller
Jiajun Liu
OffRL
23
11
0
04 Jan 2021
Is Pessimism Provably Efficient for Offline RL?
Is Pessimism Provably Efficient for Offline RL?
Ying Jin
Zhuoran Yang
Zhaoran Wang
OffRL
27
350
0
30 Dec 2020
SCC: an efficient deep reinforcement learning agent mastering the game
  of StarCraft II
SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II
Xiangjun Wang
Junxiao Song
Penghui Qi
Peng Peng
Zhenkun Tang
...
Xiongjun Pi
Jujie He
Chao Gao
Haitao Long
Quan Yuan
24
40
0
24 Dec 2020
Which Heroes to Pick? Learning to Draft in MOBA Games with Neural
  Networks and Tree Search
Which Heroes to Pick? Learning to Draft in MOBA Games with Neural Networks and Tree Search
Sheng Chen
Menghui Zhu
Deheng Ye
Weinan Zhang
Qiang Fu
Wei Yang
35
29
0
18 Dec 2020
EvoCraft: A New Challenge for Open-Endedness
EvoCraft: A New Challenge for Open-Endedness
Djordje Grbic
Rasmus Berg Palm
Elias Najarro
Claire Glanois
S. Risi
27
30
0
08 Dec 2020
Applied Machine Learning for Games: A Graduate School Course
Applied Machine Learning for Games: A Graduate School Course
Yilei Zeng
Aayush Shah
Jameson Thai
M. Zyda
AI4CE
14
3
0
30 Nov 2020
Supervised Learning Achieves Human-Level Performance in MOBA Games: A
  Case Study of Honor of Kings
Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings
Deheng Ye
Guibin Chen
P. Zhao
Fuhao Qiu
Bo Yuan
...
Liang Wang
Tengfei Shi
Qiang Fu
Wei Yang
Lanxiao Huang
40
49
0
25 Nov 2020
An analysis of Reinforcement Learning applied to Coach task in IEEE Very
  Small Size Soccer
An analysis of Reinforcement Learning applied to Coach task in IEEE Very Small Size Soccer
Carlos H. C. Pena
Mateus G. Machado
M. S. Barros
José D. P. Silva
Lucas D. Maciel
Ing Ren Tsang
Edna N. S. Barros
Pedro H. M. Braga
H. Bassani
23
1
0
23 Nov 2020
Previous
1234
Next