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1807.01281
Cited By
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning
3 July 2018
Max Jaderberg
Wojciech M. Czarnecki
Iain Dunning
Luke Marris
Guy Lever
Antonio García Castañeda
Charlie Beattie
Neil C. Rabinowitz
Ari S. Morcos
Avraham Ruderman
Nicolas Sonnerat
Tim Green
Louise Deason
Joel Z. Leibo
David Silver
Demis Hassabis
Koray Kavukcuoglu
T. Graepel
OffRL
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Papers citing
"Human-level performance in first-person multiplayer games with population-based deep reinforcement learning"
50 / 115 papers shown
Title
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03 Jan 2025
GPT for Games: An Updated Scoping Review (2020-2024)
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17 Oct 2024
Training Interactive Agent in Large FPS Game Map with Rule-enhanced Reinforcement Learning
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A Survey on Self-play Methods in Reinforcement Learning
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02 Aug 2024
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16 Apr 2024
Effective Reinforcement Learning Based on Structural Information Principles
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Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement Learning
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Social Interpretable Reinforcement Learning
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Jing Hou
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LM&Ro
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Prithviraj Dasgupta
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Jingwei Li
Sunli Chen
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MatrixWorld: A pursuit-evasion platform for safe multi-agent coordination and autocurricula
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27 Jul 2023
Building Cooperative Embodied Agents Modularly with Large Language Models
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Jiaming Shan
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J. Tenenbaum
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LLMAG
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05 Jul 2023
Decision-Oriented Dialogue for Human-AI Collaboration
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Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?
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27 May 2023
Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective
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Jiawei Wang
Qiang Fu
Wei Yang
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32
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23 Apr 2023
Cooperative Coevolution for Non-Separable Large-Scale Black-Box Optimization: Convergence Analyses and Distributed Accelerations
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Hao-Yu Yang
Qi Zhao
Yuhui Shi
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11 Apr 2023
Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-Decomposition
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Igor Mordach
Joel Z. Leibo
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02 Feb 2023
Learning Roles with Emergent Social Value Orientations
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Xiangfeng Wang
Bo Jin
J. Lu
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31 Jan 2023
Multi-Agent Interplay in a Competitive Survival Environment
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19 Jan 2023
Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration
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Xinyi Yang
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Yunfei Li
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Rui Huang
Huazhong Yang
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09 Jan 2023
Chat2Map: Efficient Scene Mapping from Multi-Ego Conversations
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Hao Jiang
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V. Ithapu
EgoV
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04 Jan 2023
Ithaca. A Tool for Integrating Fuzzy Logic in Unity
Alfonso Tejedor Moreno
J. A. Piedra-Fernandez
J. J. Ojeda-Castelo
L. Iribarne
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01 Jan 2023
Learning Latent Representations to Co-Adapt to Humans
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Dylan P. Losey
18
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19 Dec 2022
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox
Qiyue Yin
Tongtong Yu
S. Shen
Jun Yang
Meijing Zhao
Kaiqi Huang
Bin Liang
Liangsheng Wang
OffRL
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01 Dec 2022
Melting Pot 2.0
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Edgar A. Duénez-Guzmán
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Julia Haas
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D. Mobbs
Joel Z. Leibo
27
30
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24 Nov 2022
Group Cohesion in Multi-Agent Scenarios as an Emergent Behavior
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Nabil Alsabah
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03 Nov 2022
Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns for Cross-Domain Adaptation
Kang Xu
Yan Ma
Bingsheng Wei
Wei Li
27
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24 Sep 2022
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games
Hui Bai
R. Shen
Yue Lin
Bo Xu
Ran Cheng
VLM
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21 Sep 2022
Law Informs Code: A Legal Informatics Approach to Aligning Artificial Intelligence with Humans
John J. Nay
ELM
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Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members
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Thomas Rood
Mateusz Malinowski
Yoram Bachrach
Tal Kachman
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18 Aug 2022
Transformers as Meta-Learners for Implicit Neural Representations
Yinbo Chen
Xiaolong Wang
AI4CE
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Bayesian Generational Population-Based Training
Xingchen Wan
Cong Lu
Jack Parker-Holder
Philip J. Ball
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Binxin Ru
Michael A. Osborne
OffRL
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19 Jul 2022
Mimetic Models: Ethical Implications of AI that Acts Like You
Reid McIlroy-Young
Jon M. Kleinberg
S. Sen
Solon Barocas
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13
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SC2EGSet: StarCraft II Esport Replay and Game-state Dataset
A. Białecki
N. Jakubowska
P. Dobrowolski
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Leszek Krupiñski
Andrzej Szczap
R. Białecki
Jan Gajewski
16
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Fast Population-Based Reinforcement Learning on a Single Machine
Arthur Flajolet
Claire Bizon Monroc
Karim Beguir
Thomas Pierrot
OffRL
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Model-Based Reinforcement Learning for Offline Zero-Sum Markov Games
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Gen Li
Yuxin Chen
Jianqing Fan
OffRL
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From Attribution Maps to Human-Understandable Explanations through Concept Relevance Propagation
Reduan Achtibat
Maximilian Dreyer
Ilona Eisenbraun
S. Bosse
Thomas Wiegand
Wojciech Samek
Sebastian Lapuschkin
FAtt
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131
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07 Jun 2022
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David Radke
Kate Larson
Timothy B. Brecht
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The Importance of Credo in Multiagent Learning
David Radke
Kate Larson
Timothy B. Brecht
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Zihan Zhou
Wei Fu
Bingliang Zhang
Yi Wu
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Mind the gap: Challenges of deep learning approaches to Theory of Mind
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Aqeel Labash
Oriol Corcoll
Raul Vicente
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30 Mar 2022
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