Playing FPS Games with Deep Reinforcement Learning

18 September 2016

Guillaume Lample

Devendra Singh Chaplot

OffRL

EgoV

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Papers citing "Playing FPS Games with Deep Reinforcement Learning"

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Title
Synthetic Data for Deep Learning Sergey I. Nikolenko 51 349 0 25 Sep 2019
DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning Theo Jaunet Romain Vuillemot Christian Wolf HAI 18 36 0 06 Sep 2019
DeepPlace: Learning to Place Applications in Multi-Tenant Clusters Subrata Mitra S. S. Mondal Nikhil Sheoran Neeraj Dhake Ravinder Nehra Ramanuja Simha 19 7 0 30 Jul 2019
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges Lei Lei Yue Tan Kan Zheng Shiwen Liu K. Zheng Xuemin Shen Shen OffRL 23 202 0 22 Jul 2019
Co-training for Policy Learning Jialin Song Ravi Lanka Yisong Yue M. Ono OffRL 18 19 0 03 Jul 2019
Shaping Belief States with Generative Environment Models for RL Karol Gregor Danilo Jimenez Rezende F. Besse Yan Wu Hamza Merzic Aaron van den Oord OffRL AI4CE 27 118 0 21 Jun 2019
Deep Reinforcement Learning on a Budget: 3D Control and Reasoning Without a Supercomputer E. Beeching Christian Wolf J. Dibangoye Olivier Simonin OffRL LRM 35 25 0 03 Apr 2019
Towards Understanding Chinese Checkers with Heuristics, Monte Carlo Tree Search, and Deep Reinforcement Learning Ziyu Liu Meng Zhou Weiqing Cao Qiang Qu H. W. F. Yeung Yuk Ying Chung 21 4 0 05 Mar 2019
The StreetLearn Environment and Dataset Piotr Wojciech Mirowski Andras Banki-Horvath Keith Anderson Denis Teplyashin Karl Moritz Hermann ... Matthew Koichi Grimes Karen Simonyan Koray Kavukcuoglu Andrew Zisserman R. Hadsell 3DV 26 64 0 04 Mar 2019
Design of intentional backdoors in sequential models Zhaoyuan Yang N. Iyer Johan Reimann Nurali Virani SILM AAML 25 38 0 26 Feb 2019
Hyperbolic Discounting and Learning over Multiple Horizons W. Fedus Carles Gelada Yoshua Bengio Marc G. Bellemare Hugo Larochelle 32 105 0 19 Feb 2019
Distributed Learning of Decentralized Control Policies for Articulated Mobile Robots Guillaume Sartoretti William Paivine Yunfei Shi Yue Wu Howie Choset 22 55 0 24 Jan 2019
A Deep Recurrent Q Network towards Self-adapting Distributed Microservices architecture Basel Magableh 29 15 0 13 Jan 2019
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications Thanh Thi Nguyen Ngoc Duy Nguyen S. Nahavandi 27 775 0 31 Dec 2018
Learning to Communicate: A Machine Learning Framework for Heterogeneous Multi-Agent Robotic Systems Hyung-Jin Yoon Huaiyu Chen Kehan Long Heling Zhang Aditya Gahlawat Donghwan Lee N. Hovakimyan 29 6 0 13 Dec 2018
Object-sensitive Deep Reinforcement Learning Yuezhang Li Katia Sycara R. Iyer 18 65 0 17 Sep 2018
Factorized Q-Learning for Large-Scale Multi-Agent Systems M. Zhou Yong Chen Ying Wen Yaodong Yang Yufeng Su Weinan Zhang Dell Zhang Jun Wang AI4CE 35 68 0 11 Sep 2018
ViZDoom Competitions: Playing Doom from Pixels Marek Wydmuch Michal Kempka Wojciech Ja'skowski 29 119 0 10 Sep 2018
Unity: A General Platform for Intelligent Agents Arthur Juliani Vincent-Pierre Berges Esh Vckay Andrew Cohen Jonathan Harper ... Chris Goy Yuan Gao Hunter Henry Marwan Mattar Danny Lange 39 808 0 07 Sep 2018
Deep Reinforcement Learning for Doom using Unsupervised Auxiliary Tasks Georgios Papoudakis Kyriakos C. Chatzidimitriou P. Mitkas 19 8 0 05 Jul 2018
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning Max Jaderberg Wojciech M. Czarnecki Iain Dunning Luke Marris Guy Lever ... Joel Z. Leibo David Silver Demis Hassabis Koray Kavukcuoglu T. Graepel OffRL 43 715 0 03 Jul 2018
Gated Path Planning Networks Lisa Lee Emilio Parisotto Devendra Singh Chaplot Eric Xing Ruslan Salakhutdinov 32 81 0 17 Jun 2018
Deep Variational Reinforcement Learning for POMDPs Maximilian Igl L. Zintgraf T. Le Frank Wood Shimon Whiteson BDL OffRL 23 259 0 06 Jun 2018
Deep Hierarchical Reinforcement Learning Algorithm in Partially Observable Markov Decision Processes T. P. Le Ngo Anh Vien Abu Layek TaeChoong Chung 25 51 0 11 May 2018
Learning to Navigate in Cities Without a Map Piotr Wojciech Mirowski Matthew Koichi Grimes Mateusz Malinowski Karl Moritz Hermann Keith Anderson Denis Teplyashin Karen Simonyan Koray Kavukcuoglu Andrew Zisserman R. Hadsell SSL HAI 39 316 0 31 Mar 2018
Automated Curriculum Learning by Rewarding Temporally Rare Events Niels Justesen S. Risi OffRL 35 20 0 19 Mar 2018
Global Pose Estimation with an Attention-based Recurrent Network Emilio Parisotto Devendra Singh Chaplot Jian Zhang Ruslan Salakhutdinov 26 70 0 19 Feb 2018
ViZDoom: DRQN with Prioritized Experience Replay, Double-Q Learning, & Snapshot Ensembling Christopher Schulze Marcus Schulze 29 32 0 03 Jan 2018
Deep Reinforcement Learning Boosted by External Knowledge Nicolas Bougie R. Ichise OffRL 25 15 0 12 Dec 2017
Distral: Robust Multitask Reinforcement Learning Yee Whye Teh V. Bapst Wojciech M. Czarnecki John Quan J. Kirkpatrick R. Hadsell N. Heess Razvan Pascanu 53 546 0 13 Jul 2017
Autoencoder-augmented Neuroevolution for Visual Doom Playing Samuel Alvernaz Julian Togelius 31 62 0 12 Jul 2017
Learning Macromanagement in StarCraft from Replays using Deep Learning Niels Justesen S. Risi 44 68 0 12 Jul 2017
ELF: An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games Yuandong Tian Qucheng Gong Wenling Shang Yuxin Wu C. L. Zitnick OffRL 27 126 0 04 Jul 2017
Gated-Attention Architectures for Task-Oriented Language Grounding Devendra Singh Chaplot Kanthashree Mysore Sathyendra Rama Kumar Pasumarthi Dheeraj Rajagopal Ruslan Salakhutdinov LM&Ro 13 276 0 22 Jun 2017
Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation Guan-Horng Liu Avinash Siravuru Sai P. Selvaraj Manuela Veloso George Kantor 13 69 0 30 May 2017
On Improving Deep Reinforcement Learning for POMDPs Pengfei Zhu Xin Li Pascal Poupart Guanghui Miao 27 123 0 26 Apr 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,505 0 25 Jan 2017
Playing Doom with SLAM-Augmented Deep Reinforcement Learning Shehroze Bhatti Alban Desmaison O. Mikšík Nantas Nardelli N. Siddharth Philip Torr OffRL 35 69 0 01 Dec 2016
Reinforcement Learning with Unsupervised Auxiliary Tasks Max Jaderberg Volodymyr Mnih Wojciech M. Czarnecki Tom Schaul Joel Z. Leibo David Silver Koray Kavukcuoglu SSL 13 1,222 0 16 Nov 2016
Learning to Act by Predicting the Future Alexey Dosovitskiy V. Koltun 29 280 0 06 Nov 2016