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1809.03470
Cited By
ViZDoom Competitions: Playing Doom from Pixels
10 September 2018
Marek Wydmuch
Michal Kempka
Wojciech Ja'skowski
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Papers citing
"ViZDoom Competitions: Playing Doom from Pixels"
50 / 64 papers shown
Diffusion Guided Adversarial State Perturbations in Reinforcement Learning
Xiaolin Sun
Feidi Liu
Zhengming Ding
Zizhan Zheng
AAML
203
0
0
10 Nov 2025
Game-TARS: Pretrained Foundation Models for Scalable Generalist Multimodal Game Agents
Zihao Wang
X. Li
Yining Ye
Junjie Fang
Haoming Wang
...
Shi Yan
Xiangyang Li
Yitao Liang
Yujia Qin
Guang Shi
LLMAG
LM&Ro
AI4CE
205
8
0
27 Oct 2025
FOSSIL: Harnessing Feedback on Suboptimal Samples for Data-Efficient Generalisation with Imitation Learning for Embodied Vision-and-Language Tasks
Sabrina McCallum
Amit Parekh
Alessandro Suglia
LM&Ro
168
0
0
13 Oct 2025
Learning from Observation: A Survey of Recent Advances
Returaj Burnwal
Hriday Mehta
Nirav P. Bhatt
Balaraman Ravindran
161
0
0
20 Sep 2025
A Comprehensive Review of Multi-Agent Reinforcement Learning in Video Games
IEEE Transactions on Games (IEEE Trans. Games), 2025
Zhengyang Li
Qijin Ji
Xinghong Ling
Quan Liu
199
41
0
03 Sep 2025
Innate-Values-driven Reinforcement Learning based Cognitive Modeling
Conference on Cognitive and Computational Aspects of Situation Management (CCASM), 2024
Qin Yang
286
0
0
14 Nov 2024
Progressive Safeguards for Safe and Model-Agnostic Reinforcement Learning
Nabil Omi
Hosein Hasanbeig
Hiteshi Sharma
Sriram K. Rajamani
S. Sen
321
0
0
31 Oct 2024
Diffusion Models Are Real-Time Game Engines
International Conference on Learning Representations (ICLR), 2024
Dani Valevski
Yaniv Leviathan
Moab Arar
Shlomi Fruchter
DiffM
VGen
AI4CE
649
192
0
27 Aug 2024
Craftium: Bridging Flexibility and Efficiency for Rich 3D Single- and Multi-Agent Environments
Mikel Malagón
Josu Ceberio
Jose A. Lozano
320
0
0
04 Jul 2024
Scaling Value Iteration Networks to 5000 Layers for Extreme Long-Term Planning
Yuhui Wang
Qingyuan Wu
Dylan R. Ashley
Francesco Faccio
Weida Li
Chao-Wei Huang
Jürgen Schmidhuber
AI4CE
355
2
0
12 Jun 2024
Highway Value Iteration Networks
Yuhui Wang
Weida Li
Francesco Faccio
Qingyuan Wu
Jürgen Schmidhuber
216
3
0
05 Jun 2024
A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points
International Joint Conference on Artificial Intelligence (IJCAI), 2024
Zihe Liu
Jie Lu
Guangquan Zhang
Junyu Xuan
313
3
0
23 May 2024
Towards Principled Representation Learning from Videos for Reinforcement Learning
Dipendra Kumar Misra
Akanksha Saran
Tengyang Xie
Alex Lamb
John Langford
SSL
OffRL
348
8
0
20 Mar 2024
Will GPT-4 Run DOOM?
IEEE Transactions on Games (IEEE Trans. Games), 2024
Adrian de Wynter
LM&Ro
MLLM
248
8
0
08 Mar 2024
Behavioural Cloning in VizDoom
Ryan Spick
Timothy Bradley
Ayush Raina
P. Amadori
Guy Moss
LM&Ro
213
2
0
08 Jan 2024
Enhancing Robot Program Synthesis Through Environmental Context
Neural Information Processing Systems (NeurIPS), 2023
Tianyi Chen
Qidi Wang
Zhen Dong
Liwei Shen
Xin Peng
313
4
0
13 Dec 2023
Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents
Marco Pleines
Matthias Pallasch
Frank Zimmer
Mike Preuss
OffRL
367
13
0
29 Sep 2023
Facing Off World Model Backbones: RNNs, Transformers, and S4
Neural Information Processing Systems (NeurIPS), 2023
Fei Deng
Junyeong Park
Sungjin Ahn
412
44
0
05 Jul 2023
RaidEnv: Exploring New Challenges in Automated Content Balancing for Boss Raid Games
IEEE Transactions on Games (IEEE Trans. Games), 2023
Hyeonchang Jeon
In-Chang Baek
Cheong-mok Bae
Taehwa Park
Wonsang You
Taegwan Ha
Hoyun Jung
Jinha Noh
Seungwon Oh
Kyung-Joong Kim
345
15
0
04 Jul 2023
Herd's Eye View: Improving Game AI Agent Learning with Collaborative Perception
Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE), 2023
Andrew Nash
A. Vardy
David Churchill
209
2
0
11 Jun 2023
Filter-Aware Model-Predictive Control
Conference on Learning for Dynamics & Control (L4DC), 2023
Baris Kayalibay
Atanas Mirchev
Ahmed Agha
Patrick van der Smagt
Justin Bayer
325
0
0
20 Apr 2023
Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning
AAAI Conference on Artificial Intelligence (AAAI), 2023
Yu Lu
Arunesh Sinha
Pradeep Varakantham
321
3
0
21 Feb 2023
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games
IEEE Transactions on Games (IEEE Trans. Games), 2022
Hui Bai
R. Shen
Yue Lin
Bo Xu
Ran Cheng
VLM
359
7
0
21 Sep 2022
Deep Q-Network for AI Soccer
International Conference on Robot Intelligence Technology and Applications (RITA), 2022
Curie Kim
Yewon Hwang
Jong-Hwan Kim
157
1
0
20 Sep 2022
SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments
Neural Information Processing Systems (NeurIPS), 2022
Mohan Zhang
Xiaozhou Wang
Benjamin Decardi-Nelson
Bo Song
A. Zhang
...
Jiayi Cheng
Xiaohong Liu
DengDeng Yu
Matthew Poon
Animesh Garg
203
5
0
17 Jun 2022
DeepSim: A Reinforcement Learning Environment Build Toolkit for ROS and Gazebo
Woong Gyu La
Ling-Xue Kong
Sunil Muralidhara
Pratik Nichat
138
1
0
17 May 2022
Unified Distributed Environment
Woong Gyu La
Sunil Muralidhara
Ling-Xue Kong
Pratik Nichat
148
3
0
14 May 2022
Task-Induced Representation Learning
International Conference on Learning Representations (ICLR), 2022
Jun Yamada
Karl Pertsch
Anisha Gunjal
Joseph J. Lim
SSL
256
15
0
25 Apr 2022
Graph Neural Network based Agent in Google Research Football
Yizhan Niu
Jinglong Liu
Yuhao Shi
Jiren Zhu
GNN
176
2
0
23 Apr 2022
Dealing with Sparse Rewards Using Graph Neural Networks
IEEE Access (IEEE Access), 2022
Matvey Gerasyov
Ilya Makarov
344
4
0
25 Mar 2022
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
328
12
0
24 Feb 2022
MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned
Neural Information Processing Systems (NeurIPS), 2022
Anssi Kanervisto
Stephanie Milani
Karolis Ramanauskas
Nicholay Topin
Zichuan Lin
...
Franccois Fleuret
Alexander Nikulin
Yury Belousov
Oleg Svidchenko
A. Shpilman
OffRL
317
35
0
17 Feb 2022
Tracking and Planning with Spatial World Models
Conference on Learning for Dynamics & Control (L4DC), 2022
Baris Kayalibay
Atanas Mirchev
Patrick van der Smagt
Justin Bayer
216
4
0
25 Jan 2022
Graph augmented Deep Reinforcement Learning in the GameRLand3D environment
E. Beeching
Maxim Peter
Philippe Marcotte
Jilles Debangoye
Olivier Simonin
Joshua Romoff
Christian Wolf
290
6
0
22 Dec 2021
Godot Reinforcement Learning Agents
E. Beeching
Jilles Debangoye
Olivier Simonin
Christian Wolf
GP
OnRL
234
7
0
07 Dec 2021
Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning
Christopher Hoang
Sungryull Sohn
Jongwook Choi
Wilka Carvalho
Honglak Lee
255
41
0
18 Nov 2021
Modular Networks Prevent Catastrophic Interference in Model-Based Multi-Task Reinforcement Learning
International Conference on Machine Learning, Optimization, and Data Science (MOD), 2021
Robin Schiewer
Laurenz Wiskott
111
4
0
15 Nov 2021
Agents that Listen: High-Throughput Reinforcement Learning with Multiple Sensory Systems
Shashank Hegde
Anssi Kanervisto
Aleksei Petrenko
VLM
192
13
0
05 Jul 2021
Distilling Reinforcement Learning Tricks for Video Games
Anssi Kanervisto
Christian Scheller
Yanick Schraner
Ville Hautamaki
OffRL
VLM
253
5
0
01 Jul 2021
Counter-Strike Deathmatch with Large-Scale Behavioural Cloning
Tim Pearce
Jun Zhu
274
69
0
09 Apr 2021
Avalanche: an End-to-End Library for Continual Learning
Vincenzo Lomonaco
Lorenzo Pellegrini
Andrea Cossu
Antonio Carta
G. Graffieti
...
Christopher Kanan
Joost van de Weijer
Tinne Tuytelaars
D. Bacciu
Davide Maltoni
BDL
AI4TS
344
208
0
01 Apr 2021
Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents
Jane X. Wang
Michael King
Nicolas Porcel
Z. Kurth-Nelson
Tina Zhu
...
Neil C. Rabinowitz
Loic Matthey
Demis Hassabis
Alexander Lerchner
M. Botvinick
OffRL
378
39
0
04 Feb 2021
OpenHoldem: A Benchmark for Large-Scale Imperfect-Information Game Research
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Kai Li
Hang Xu
Enmin Zhao
Zhe Wu
Junliang Xing
VLM
268
1
0
11 Dec 2020
Deep Reinforcement Learning for Navigation in AAA Video Games
Eloi Alonso
Maxim Peter
David Goumard
Joshua Romoff
393
47
0
09 Nov 2020
Self-Supervised Policy Adaptation during Deployment
International Conference on Learning Representations (ICLR), 2020
Nicklas Hansen
Rishabh Jangir
Yu Sun
Guillem Alenyà
Pieter Abbeel
Alexei A. Efros
Lerrel Pinto
Xiaolong Wang
390
184
0
08 Jul 2020
ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects
Dhruv Batra
Aaron Gokaslan
Aniruddha Kembhavi
Oleksandr Maksymets
Roozbeh Mottaghi
Manolis Savva
Alexander Toshev
Erik Wijmans
347
329
0
23 Jun 2020
Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning
Aleksei Petrenko
Zhehui Huang
T. Kumar
Gaurav Sukhatme
V. Koltun
382
130
0
21 Jun 2020
Benchmarking End-to-End Behavioural Cloning on Video Games
Anssi Kanervisto
J. Pussinen
Ville Hautamaki
OffRL
205
27
0
02 Apr 2020
Action Space Shaping in Deep Reinforcement Learning
Anssi Kanervisto
Christian Scheller
Ville Hautamaki
428
117
0
02 Apr 2020
Obstacle Tower Without Human Demonstrations: How Far a Deep Feed-Forward Network Goes with Reinforcement Learning
Marco Pleines
J. Jitsev
Mike Preuss
Frank Zimmer
211
2
0
01 Apr 2020
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