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Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition

Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition

20 April 2019
Chao Gao
Pablo Hernandez-Leal
Bilal Kartal
Matthew E. Taylor
ArXiv (abs)PDFHTMLGithub (37★)

Papers citing "Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition"

6 / 6 papers shown
Title
Multi-Agent Training for Pommerman: Curriculum Learning and Population-based Self-Play Approach
Multi-Agent Training for Pommerman: Curriculum Learning and Population-based Self-Play Approach
Nhat-Minh Huynh
Hoang-Giang Cao
I-Chen Wu
53
2
0
30 Jun 2024
Developing a Successful Bomberman Agent
Developing a Successful Bomberman Agent
D. Kowalczyk
Jakub Kowalski
Hubert Obrzut
Michael Maras
Szymon Kosakowski
Radoslaw Miernik
68
1
0
17 Mar 2022
Learning to Play Imperfect-Information Games by Imitating an Oracle
  Planner
Learning to Play Imperfect-Information Games by Imitating an Oracle Planner
Rinu Boney
Alexander Ilin
Arno Solin
Jarno Seppänen
27
3
0
22 Dec 2020
Battlesnake Challenge: A Multi-agent Reinforcement Learning Playground
  with Human-in-the-loop
Battlesnake Challenge: A Multi-agent Reinforcement Learning Playground with Human-in-the-loop
Jonathan Chung
Anna Luo
Xavier Raffin
Scott Perry
OffRL
40
3
0
20 Jul 2020
On Hard Exploration for Reinforcement Learning: a Case Study in
  Pommerman
On Hard Exploration for Reinforcement Learning: a Case Study in Pommerman
Chao Gao
Bilal Kartal
Pablo Hernandez-Leal
Matthew E. Taylor
42
10
0
26 Jul 2019
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
119
569
0
12 Oct 2018
1