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Playing FPS Games with Deep Reinforcement Learning

Playing FPS Games with Deep Reinforcement Learning

18 September 2016
Guillaume Lample
Devendra Singh Chaplot
    OffRL
    EgoV
ArXivPDFHTML

Papers citing "Playing FPS Games with Deep Reinforcement Learning"

50 / 85 papers shown
Title
Multi-agent Embodied AI: Advances and Future Directions
Multi-agent Embodied AI: Advances and Future Directions
Zhaohan Feng
Ruiqi Xue
Lei Yuan
Yang Yu
Ning Ding
M. Liu
Bingzhao Gao
Jian Sun
Gang Wang
AI4CE
57
1
0
08 May 2025
Do We Need Transformers to Play FPS Video Games?
Do We Need Transformers to Play FPS Video Games?
Karmanbir Batth
Krish Sethi
Aly Shariff
Leo Shi
Hetul Patel
OffRL
AI4CE
34
0
0
24 Apr 2025
SimMotionEdit: Text-Based Human Motion Editing with Motion Similarity Prediction
SimMotionEdit: Text-Based Human Motion Editing with Motion Similarity Prediction
Zhengyuan Li
Kai Cheng
Anindita Ghosh
Uttaran Bhattacharya
Liangyan Gui
Aniket Bera
DiffM
VGen
46
0
0
23 Mar 2025
Learning to Navigate in Mazes with Novel Layouts using Abstract Top-down
  Maps
Learning to Navigate in Mazes with Novel Layouts using Abstract Top-down Maps
Linfeng Zhao
Lawson L. S. Wong
82
1
0
16 Dec 2024
Dynamic Learning Rate for Deep Reinforcement Learning: A Bandit Approach
Dynamic Learning Rate for Deep Reinforcement Learning: A Bandit Approach
Henrique Donâncio
Antoine Barrier
Leah F. South
Florence Forbes
28
0
0
16 Oct 2024
Training Interactive Agent in Large FPS Game Map with Rule-enhanced
  Reinforcement Learning
Training Interactive Agent in Large FPS Game Map with Rule-enhanced Reinforcement Learning
Chen Zhang
Huan Hu
Yuan Zhou
Qiyang Cao
Ruochen Liu
Wenya Wei
Elvis S. Liu
AI4CE
23
0
0
07 Oct 2024
The Evolution of Reinforcement Learning in Quantitative Finance: A Survey
The Evolution of Reinforcement Learning in Quantitative Finance: A Survey
Nikolaos Pippas
Cagatay Turkay
Elliot A. Ludvig
AIFin
92
3
0
20 Aug 2024
ARCLE: The Abstraction and Reasoning Corpus Learning Environment for
  Reinforcement Learning
ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning
Hosung Lee
Sejin Kim
Seungpil Lee
Sanha Hwang
Jihwan Lee
Byung-Jun Lee
Sundong Kim
LRM
37
8
0
30 Jul 2024
Will GPT-4 Run DOOM?
Will GPT-4 Run DOOM?
Adrian de Wynter
LM&Ro
MLLM
46
5
0
08 Mar 2024
Maximizing NFT Incentives: References Make You Rich
Maximizing NFT Incentives: References Make You Rich
Guangsheng Yu
Qin Wang
Caijun Sun
L. Nguyen
H.M.N. Dilum Bandara
Shiping Chen
32
2
0
09 Feb 2024
PGN: A perturbation generation network against deep reinforcement
  learning
PGN: A perturbation generation network against deep reinforcement learning
Xiangjuan Li
Feifan Li
Yang Li
Quanbiao Pan
AAML
27
2
0
20 Dec 2023
Dealing with uncertainty: balancing exploration and exploitation in deep
  recurrent reinforcement learning
Dealing with uncertainty: balancing exploration and exploitation in deep recurrent reinforcement learning
Valentina Zangirolami
Matteo Borrotti
31
6
0
12 Oct 2023
On Reducing Undesirable Behavior in Deep Reinforcement Learning Models
On Reducing Undesirable Behavior in Deep Reinforcement Learning Models
Ophir M. Carmel
Guy Katz
35
0
0
06 Sep 2023
Robust Driving Policy Learning with Guided Meta Reinforcement Learning
Robust Driving Policy Learning with Guided Meta Reinforcement Learning
Kanghoon Lee
Jiachen Li
David Isele
Jinkyoo Park
K. Fujimura
Mykel J. Kochenderfer
29
5
0
19 Jul 2023
Policy Contrastive Imitation Learning
Policy Contrastive Imitation Learning
Jialei Huang
Zhao-Heng Yin
Yingdong Hu
Yang Gao
32
3
0
06 Jul 2023
Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas
Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas
Yun Hua
Shang Gao
Wenhao Li
Bo Jin
Xiangfeng Wang
H. Zha
19
3
0
10 May 2023
Navigates Like Me: Understanding How People Evaluate Human-Like AI in
  Video Games
Navigates Like Me: Understanding How People Evaluate Human-Like AI in Video Games
Stephanie Milani
Arthur Juliani
Ida Momennejad
Raluca Georgescu
Jaroslaw Rzepecki
Alison Shaw
Gavin Costello
Fei Fang
Sam Devlin
Katja Hofmann
39
10
0
02 Mar 2023
Unsupervised Time-Aware Sampling Network with Deep Reinforcement
  Learning for EEG-Based Emotion Recognition
Unsupervised Time-Aware Sampling Network with Deep Reinforcement Learning for EEG-Based Emotion Recognition
Yongtao Zhang
Yue Pan
Yulin Zhang
Linling Li
Li Zhang
G. Huang
Zhen Liang
Zhiguo Zhang
35
11
0
14 Dec 2022
Navigating to Objects in the Real World
Navigating to Objects in the Real World
Théophile Gervet
Soumith Chintala
Dhruv Batra
Jitendra Malik
Devendra Singh Chaplot
41
122
0
02 Dec 2022
A General Purpose Supervisory Signal for Embodied Agents
A General Purpose Supervisory Signal for Embodied Agents
Kunal Pratap Singh
Jordi Salvador
Luca Weihs
Aniruddha Kembhavi
SSL
26
3
0
01 Dec 2022
Explainability Via Causal Self-Talk
Explainability Via Causal Self-Talk
Nicholas A. Roy
Junkyung Kim
Neil C. Rabinowitz
CML
26
7
0
17 Nov 2022
The Pump Scheduling Problem: A Real-World Scenario for Reinforcement Learning
The Pump Scheduling Problem: A Real-World Scenario for Reinforcement Learning
Henrique Donancio
L. Vercouter
H. Roclawski
AI4CE
18
1
0
20 Oct 2022
Deep Transformer Q-Networks for Partially Observable Reinforcement
  Learning
Deep Transformer Q-Networks for Partially Observable Reinforcement Learning
Kevin Esslinger
Robert W. Platt
Chris Amato
OffRL
32
35
0
02 Jun 2022
Chain of Thought Imitation with Procedure Cloning
Chain of Thought Imitation with Procedure Cloning
Mengjiao Yang
Dale Schuurmans
Pieter Abbeel
Ofir Nachum
OffRL
32
30
0
22 May 2022
Masked Visual Pre-training for Motor Control
Masked Visual Pre-training for Motor Control
Tete Xiao
Ilija Radosavovic
Trevor Darrell
Jitendra Malik
SSL
34
242
0
11 Mar 2022
Online Learning of Reusable Abstract Models for Object Goal Navigation
Online Learning of Reusable Abstract Models for Object Goal Navigation
Tommaso Campari
Leonardo Lamanna
P. Traverso
Luciano Serafini
Lamberto Ballan
EgoV
15
19
0
04 Mar 2022
Deep Q-network using reservoir computing with multi-layered readout
Deep Q-network using reservoir computing with multi-layered readout
Toshitaka Matsuki
OffRL
23
2
0
03 Mar 2022
Towards Disturbance-Free Visual Mobile Manipulation
Towards Disturbance-Free Visual Mobile Manipulation
Tianwei Ni
Kiana Ehsani
Luca Weihs
Jordi Salvador
23
9
0
17 Dec 2021
Godot Reinforcement Learning Agents
Godot Reinforcement Learning Agents
E. Beeching
Jilles Debangoye
Olivier Simonin
Christian Wolf
GP
OnRL
24
5
0
07 Dec 2021
MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep
  Reinforcement Learning
MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep Reinforcement Learning
Qiang He
Yuxun Qu
Chen Gong
Xinwen Hou
OffRL
22
10
0
22 Sep 2021
Teaching Agents how to Map: Spatial Reasoning for Multi-Object
  Navigation
Teaching Agents how to Map: Spatial Reasoning for Multi-Object Navigation
Pierre Marza
L. Matignon
Olivier Simonin
Christian Wolf
42
23
0
13 Jul 2021
Temporal Predictive Coding For Model-Based Planning In Latent Space
Temporal Predictive Coding For Model-Based Planning In Latent Space
Tung D. Nguyen
Rui Shu
Tu Pham
Hung Bui
Stefano Ermon
OffRL
17
56
0
14 Jun 2021
Robotic Surgery With Lean Reinforcement Learning
Robotic Surgery With Lean Reinforcement Learning
Yotam Barnoy
Molly O'Brien
Luu Anh Tuan
Gregory D. Hager
OffRL
41
20
0
03 May 2021
Counter-Strike Deathmatch with Large-Scale Behavioural Cloning
Counter-Strike Deathmatch with Large-Scale Behavioural Cloning
Tim Pearce
Jun Zhu
28
1
0
09 Apr 2021
Augmenting Automated Game Testing with Deep Reinforcement Learning
Augmenting Automated Game Testing with Deep Reinforcement Learning
Joakim Bergdahl
Camilo Gordillo
Konrad Tollmar
Linus Gisslén
OffRL
6
68
0
29 Mar 2021
Advances in Electron Microscopy with Deep Learning
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
35
2
0
04 Jan 2021
Which Heroes to Pick? Learning to Draft in MOBA Games with Neural
  Networks and Tree Search
Which Heroes to Pick? Learning to Draft in MOBA Games with Neural Networks and Tree Search
Sheng Chen
Menghui Zhu
Deheng Ye
Weinan Zhang
Qiang Fu
Wei Yang
27
29
0
18 Dec 2020
Supervised Learning Achieves Human-Level Performance in MOBA Games: A
  Case Study of Honor of Kings
Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings
Deheng Ye
Guibin Chen
P. Zhao
Fuhao Qiu
Bo Yuan
...
Liang Wang
Tengfei Shi
Qiang Fu
Wei Yang
Lanxiao Huang
32
49
0
25 Nov 2020
Reinforcement Learning for Autonomous Driving with Latent State
  Inference and Spatial-Temporal Relationships
Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships
Xiaobai Ma
Jiachen Li
Mykel J. Kochenderfer
David Isele
K. Fujimura
18
61
0
09 Nov 2020
Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping
Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping
Yujing Hu
Weixun Wang
Hangtian Jia
Yixiang Wang
Yingfeng Chen
Jianye Hao
Feng Wu
Changjie Fan
OffRL
11
173
0
05 Nov 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
34
79
0
17 Sep 2020
Exploiting Scene-specific Features for Object Goal Navigation
Exploiting Scene-specific Features for Object Goal Navigation
Tommaso Campari
Paolo Eccher
Luciano Serafini
Lamberto Ballan
23
28
0
21 Aug 2020
Semantic Curiosity for Active Visual Learning
Semantic Curiosity for Active Visual Learning
Devendra Singh Chaplot
Helen Jiang
Saurabh Gupta
Abhinav Gupta
ObjD
16
72
0
16 Jun 2020
Gradient Monitored Reinforcement Learning
Gradient Monitored Reinforcement Learning
Mohammed Sharafath Abdul Hameed
Gavneet Singh Chadha
Andreas Schwung
S. Ding
33
10
0
25 May 2020
An Introduction to Neural Architecture Search for Convolutional Networks
An Introduction to Neural Architecture Search for Convolutional Networks
George Kyriakides
K. Margaritis
AI4CE
23
27
0
22 May 2020
Driver Modeling through Deep Reinforcement Learning and Behavioral Game
  Theory
Driver Modeling through Deep Reinforcement Learning and Behavioral Game Theory
Mert Albaba
Y. Yildiz
OffRL
10
48
0
24 Mar 2020
EgoMap: Projective mapping and structured egocentric memory for Deep RL
EgoMap: Projective mapping and structured egocentric memory for Deep RL
E. Beeching
Christian Wolf
J. Dibangoye
Olivier Simonin
EgoV
21
27
0
24 Jan 2020
Deep Q-Network for Angry Birds
Deep Q-Network for Angry Birds
L. Sy
S. Redmond
13
5
0
04 Oct 2019
Off-Policy Actor-Critic with Shared Experience Replay
Off-Policy Actor-Critic with Shared Experience Replay
Simon Schmitt
Matteo Hessel
Karen Simonyan
OffRL
27
68
0
25 Sep 2019
Synthetic Data for Deep Learning
Synthetic Data for Deep Learning
Sergey I. Nikolenko
46
348
0
25 Sep 2019
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