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Human-level performance in first-person multiplayer games with
  population-based deep reinforcement learning

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
ArXiv (abs)PDFHTML

Papers citing "Human-level performance in first-person multiplayer games with population-based deep reinforcement learning"

13 / 363 papers shown
Title
Learn to Interpret Atari Agents
Learn to Interpret Atari Agents
Zhao Yang
S. Bai
Li Zhang
Philip Torr
80
29
0
29 Dec 2018
PNS: Population-Guided Novelty Search for Reinforcement Learning in Hard
  Exploration Environments
PNS: Population-Guided Novelty Search for Reinforcement Learning in Hard Exploration Environments
Qihao Liu
Yujia Wang
Xiao-Fei Liu
84
8
0
26 Nov 2018
Hierarchical visuomotor control of humanoids
Hierarchical visuomotor control of humanoids
J. Merel
Arun Ahuja
Vu Pham
S. Tunyasuvunakool
Siqi Liu
Dhruva Tirumala
N. Heess
Greg Wayne
117
97
0
23 Nov 2018
Scalable agent alignment via reward modeling: a research direction
Scalable agent alignment via reward modeling: a research direction
Jan Leike
David M. Krueger
Tom Everitt
Miljan Martic
Vishal Maini
Shane Legg
124
421
0
19 Nov 2018
Evolving intrinsic motivations for altruistic behavior
Evolving intrinsic motivations for altruistic behavior
Jane X. Wang
Edward Hughes
Chrisantha Fernando
Wojciech M. Czarnecki
Edgar A. Duénez-Guzmán
Joel Z Leibo
90
78
0
14 Nov 2018
TarMAC: Targeted Multi-Agent Communication
TarMAC: Targeted Multi-Agent Communication
Abhishek Das
Théophile Gervet
Joshua Romoff
Dhruv Batra
Devi Parikh
Michael G. Rabbat
Joelle Pineau
106
392
0
26 Oct 2018
Deep Reinforcement Learning
Deep Reinforcement Learning
Yuxi Li
VLMOffRL
194
144
0
15 Oct 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning
A Survey and Critique of Multiagent Deep Reinforcement Learning
Pablo Hernandez-Leal
Bilal Kartal
Matthew E. Taylor
OffRL
121
570
0
12 Oct 2018
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement
  Learning
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning
Jiachen Yang
A. Nakhaei
David Isele
K. Fujimura
H. Zha
75
77
0
13 Sep 2018
Emergence of Scenario-Appropriate Collaborative Behaviors for Teams of
  Robotic Bodyguards
Emergence of Scenario-Appropriate Collaborative Behaviors for Teams of Robotic Bodyguards
Hassam Sheikh
Ladislau Bölöni
70
3
0
12 Sep 2018
Do deep reinforcement learning agents model intentions?
Do deep reinforcement learning agents model intentions?
Tambet Matiisen
Aqeel Labash
Daniel Majoral
Jaan Aru
Raul Vicente
AI4CE
26
5
0
15 May 2018
Modeling the Formation of Social Conventions from Embodied Real-Time
  Interactions
Modeling the Formation of Social Conventions from Embodied Real-Time Interactions
Ismael T. Freire
Clément Moulin-Frier
Martí Sánchez-Fibla
X. Arsiwalla
P. Verschure
43
15
0
16 Feb 2018
DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker
DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker
Matej Moravcík
Martin Schmid
Neil Burch
Viliam Lisý
Dustin Morrill
Nolan Bard
Trevor Davis
Kevin Waugh
Michael Bradley Johanson
Michael Bowling
BDL
280
913
0
06 Jan 2017
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