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. 1809.03470
  4. Cited By
ViZDoom Competitions: Playing Doom from Pixels

ViZDoom Competitions: Playing Doom from Pixels

10 September 2018
Marek Wydmuch
Michal Kempka
Wojciech Ja'skowski
ArXivPDFHTML

Papers citing "ViZDoom Competitions: Playing Doom from Pixels"

15 / 15 papers shown
Title
Diffusion Models Are Real-Time Game Engines
Diffusion Models Are Real-Time Game Engines
Dani Valevski
Yaniv Leviathan
Moab Arar
Shlomi Fruchter
DiffM
VGen
AI4CE
33
59
0
27 Aug 2024
Highway Value Iteration Networks
Highway Value Iteration Networks
Yuhui Wang
Weida Li
Francesco Faccio
Qingyuan Wu
Jürgen Schmidhuber
32
2
0
05 Jun 2024
Will GPT-4 Run DOOM?
Will GPT-4 Run DOOM?
Adrian de Wynter
LM&Ro
MLLM
41
5
0
08 Mar 2024
Lamarckian Platform: Pushing the Boundaries of Evolutionary
  Reinforcement Learning towards Asynchronous Commercial Games
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games
Hui Bai
R. Shen
Yue Lin
Bo Xu
Ran Cheng
VLM
21
5
0
21 Sep 2022
SMPL: Simulated Industrial Manufacturing and Process Control Learning
  Environments
SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments
Mohan Zhang
Xiaozhou Wang
Benjamin Decardi-Nelson
Bo Song
A. Zhang
...
Jiayi Cheng
Xiaohong Liu
DengDeng Yu
Matthew Poon
Animesh Garg
11
4
0
17 Jun 2022
Unified Distributed Environment
Unified Distributed Environment
Woong Gyu La
Sunil Muralidhara
Ling-Xue Kong
Pratik Nichat
16
2
0
14 May 2022
Graph Neural Network based Agent in Google Research Football
Graph Neural Network based Agent in Google Research Football
Yizhan Niu
Jinglong Liu
Yuhao Shi
Jiren Zhu
GNN
19
2
0
23 Apr 2022
Collaborative Training of Heterogeneous Reinforcement Learning Agents in
  Environments with Sparse Rewards: What and When to Share?
Collaborative Training of Heterogeneous Reinforcement Learning Agents in Environments with Sparse Rewards: What and When to Share?
Alain Andres
Esther Villar-Rodriguez
Javier Del Ser
12
9
0
24 Feb 2022
Tracking and Planning with Spatial World Models
Tracking and Planning with Spatial World Models
Baris Kayalibay
Atanas Mirchev
Patrick van der Smagt
Justin Bayer
25
2
0
25 Jan 2022
Godot Reinforcement Learning Agents
Godot Reinforcement Learning Agents
E. Beeching
Jilles Debangoye
Olivier Simonin
Christian Wolf
GP
OnRL
11
5
0
07 Dec 2021
Counter-Strike Deathmatch with Large-Scale Behavioural Cloning
Counter-Strike Deathmatch with Large-Scale Behavioural Cloning
Tim Pearce
Jun Zhu
20
43
0
09 Apr 2021
Self-Supervised Policy Adaptation during Deployment
Self-Supervised Policy Adaptation during Deployment
Nicklas Hansen
Rishabh Jangir
Yu Sun
Guillem Alenyà
Pieter Abbeel
Alexei A. Efros
Lerrel Pinto
Xiaolong Wang
30
159
0
08 Jul 2020
Rotation, Translation, and Cropping for Zero-Shot Generalization
Rotation, Translation, and Cropping for Zero-Shot Generalization
Chang Ye
Ahmed Khalifa
Philip Bontrager
Julian Togelius
24
38
0
27 Jan 2020
Arena: A General Evaluation Platform and Building Toolkit for
  Multi-Agent Intelligence
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence
Yuhang Song
Andrzej Wojcicki
Thomas Lukasiewicz
Jianyi Wang
Abi Aryan
Zhenghua Xu
Mai Xu
Zihan Ding
Lianlong Wu
AI4CE
ELM
17
33
0
17 May 2019
ToriLLE: Learning Environment for Hand-to-Hand Combat
ToriLLE: Learning Environment for Hand-to-Hand Combat
Anssi Kanervisto
Ville Hautamaki
8
2
0
26 Jul 2018
1