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Deep Policy Networks for NPC Behaviors that Adapt to Changing Design
  Parameters in Roguelike Games

Deep Policy Networks for NPC Behaviors that Adapt to Changing Design Parameters in Roguelike Games

7 December 2020
Alessandro Sestini
A. Kuhnle
Andrew D. Bagdanov
ArXivPDFHTML

Papers citing "Deep Policy Networks for NPC Behaviors that Adapt to Changing Design Parameters in Roguelike Games"

3 / 3 papers shown
Title
The NetHack Learning Environment
The NetHack Learning Environment
Heinrich Küttler
Nantas Nardelli
Alexander H. Miller
Roberta Raileanu
Marco Selvatici
Edward Grefenstette
Tim Rocktaschel
32
179
0
24 Jun 2020
Dota 2 with Large Scale Deep Reinforcement Learning
Dota 2 with Large Scale Deep Reinforcement Learning
OpenAI OpenAI
:
Christopher Berner
Greg Brockman
Brooke Chan
...
Szymon Sidor
Ilya Sutskever
Jie Tang
Filip Wolski
Susan Zhang
GNN
VLM
CLL
AI4CE
LRM
63
1,805
0
13 Dec 2019
Illuminating Generalization in Deep Reinforcement Learning through
  Procedural Level Generation
Illuminating Generalization in Deep Reinforcement Learning through Procedural Level Generation
Niels Justesen
R. Torrado
Philip Bontrager
Ahmed Khalifa
Julian Togelius
S. Risi
87
181
0
28 Jun 2018
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