Multiagent Cooperation and Competition with Deep Reinforcement Learning

27 November 2015

Papers citing "Multiagent Cooperation and Competition with Deep Reinforcement Learning"

50 / 290 papers shown

Title
On Solving Cooperative MARL Problems with a Few Good Experiences Rajiv Ranjan Kumar Pradeep Varakantham 6 2 0 22 Jan 2020
Algorithms in Multi-Agent Systems: A Holistic Perspective from Reinforcement Learning and Game Theory Yunlong Lu Kai Yan AI4CE 10 13 0 17 Jan 2020
Mastering Complex Control in MOBA Games with Deep Reinforcement Learning Deheng Ye Zhao Liu Mingfei Sun Bei Shi P. Zhao ... Tengfei Shi Liang Wang Qiang Fu Wei Yang Lanxiao Huang 21 311 0 20 Dec 2019
Spatial Influence-aware Reinforcement Learning for Intelligent Transportation System Wenhang Bao Xiao-Yang Liu 21 1 0 14 Dec 2019
Inter-Level Cooperation in Hierarchical Reinforcement Learning Abdul Rahman Kreidieh Yiling You Nathan Lichtlé Samyak Parajuli Rayyan Nasr Alexandre M. Bayen 45 14 0 05 Dec 2019
Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning Hangyu Mao Wulong Liu Jianye Hao Jun Luo Dong Li Zhengchao Zhang Jun Wang Zhen Xiao OffRL 30 74 0 03 Dec 2019
Optimization for Reinforcement Learning: From Single Agent to Cooperative Agents Dong-hwan Lee Niao He Parameswaran Kamalaruban V. Cevher 6 88 0 01 Dec 2019
Agent Probing Interaction Policies Siddharth Ghiya Oluwafemi Azeez Brendan Miller 16 0 0 21 Nov 2019
Learning to Communicate in Multi-Agent Reinforcement Learning : A Review Mohamed Salah Zaïem Etienne Bennequin 33 13 0 13 Nov 2019
Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning Praveen Palanisamy 45 142 0 11 Nov 2019
A New Framework for Multi-Agent Reinforcement Learning -- Centralized Training and Exploration with Decentralized Execution via Policy Distillation Gang Chen 22 40 0 21 Oct 2019
MAVEN: Multi-Agent Variational Exploration Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 146 355 0 16 Oct 2019
Learning Nearly Decomposable Value Functions Via Communication Minimization Tonghan Wang Jianhao Wang Chongyi Zheng Chongjie Zhang 20 133 0 11 Oct 2019
Attention-based Fault-tolerant Approach for Multi-agent Reinforcement Learning Systems Mingyang Geng Kele Xu Yiying Li Shuqi Liu Bo Ding Huaimin Wang AAML 164 9 0 05 Oct 2019
Integrating independent and centralized multi-agent reinforcement learning for traffic signal network optimization Zhi Zhang Jiachen Yang H. Zha 11 41 0 23 Sep 2019
Solving Continual Combinatorial Selection via Deep Reinforcement Learning Hyungseok Song Hyeryung Jang H. Tran Se-eun Yoon Kyunghwan Son Donggyu Yun Hyoju Chung Yung Yi 18 10 0 09 Sep 2019
From Few to More: Large-scale Dynamic Multiagent Curriculum Learning Weixun Wang Tianpei Yang Y. Liu Jianye Hao Xiaotian Hao Yujing Hu Yingfeng Chen Changjie Fan Yang Gao AI4CE 24 2 0 06 Sep 2019
Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control S. Zhang Qi Zhang Jieyu Lin 8 99 0 06 Sep 2019
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Yanan Wang Tong Xu Xin Niu Chang Tan Enhong Chen Hui Xiong 22 8 0 28 Aug 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning Afshin Oroojlooyjadid Davood Hajinezhad 51 412 0 11 Aug 2019
Agent Modeling as Auxiliary Task for Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor 17 50 0 22 Jul 2019
Multi-Agent Deep Reinforcement Learning for Liquidation Strategy Analysis Wenhang Bao Xiao-Yang Liu AIFin 16 42 0 24 Jun 2019
Leveraging Reinforcement Learning Techniques for Effective Policy Adoption and Validation Nikki Lijing Kuang C. Leung OffRL 6 2 0 21 Jun 2019
Learning Transferable Cooperative Behavior in Multi-Agent Teams Akshat Agarwal Sumit Kumar Katia P. Sycara AI4CE 32 117 0 04 Jun 2019
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 27 33 0 17 May 2019
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning Kyunghwan Son Daewoo Kim Wan Ju Kang D. Hostallero Yung Yi OffRL 34 786 0 14 May 2019
Actor-Critic Algorithms for Constrained Multi-agent Reinforcement Learning Raghuram Bharadwaj Diddigi Sai Koti Reddy Danda Prabuchandran K.J. S. Bhatnagar 21 18 0 08 May 2019
Teaching on a Budget in Multi-Agent Deep Reinforcement Learning Ercüment Ilhan Jeremy Gow Diego Perez-Liebana 24 35 0 19 Apr 2019
Two Body Problem: Collaborative Visual Task Completion Unnat Jain Luca Weihs Eric Kolve Mohammad Rastegari Svetlana Lazebnik Ali Farhadi A. Schwing Aniruddha Kembhavi 20 70 0 11 Apr 2019
Personalized Cancer Chemotherapy Schedule: a numerical comparison of performance and robustness in model-based and model-free scheduling methodologies J. Tordesillas Juncal Arbelaiz OffRL 13 3 0 02 Apr 2019
A Review of Reinforcement Learning for Autonomous Building Energy Management Karl Mason S. Grijalva AI4CE 13 220 0 12 Mar 2019
A cooperative game for automated learning of elasto-plasticity knowledge graphs and models with AI-guided experimentation Kun Wang WaiChing Sun Q. Du AI4CE 23 56 0 08 Mar 2019
Convergence of Multi-Agent Learning with a Finite Step Size in General-Sum Games Xinliang Song Tonghan Wang Chongjie Zhang 38 13 0 07 Mar 2019
Microscopic Traffic Simulation by Cooperative Multi-agent Deep Reinforcement Learning Giulio Bacchiani Daniele Molinari Marco Patander 8 22 0 04 Mar 2019
Analysing Factorizations of Action-Value Networks for Cooperative Multi-Agent Reinforcement Learning Jacopo Castellini F. Oliehoek Rahul Savani Shimon Whiteson 28 43 0 20 Feb 2019
Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning Woojun Kim Myungsik Cho Y. Sung 25 55 0 18 Feb 2019
Optimizing Online Matching for Ride-Sourcing Services with Multi-Agent Deep Reinforcement Learning Jintao Ke F. Xiao Hai Yang Jieping Ye 13 25 0 17 Feb 2019
Stochastic Reinforcement Learning Nikki Lijing Kuang C. Leung Vienne W. K. Sung 13 4 0 11 Feb 2019
The StarCraft Multi-Agent Challenge Mikayel Samvelyan Tabish Rashid Christian Schroeder de Witt Gregory Farquhar Nantas Nardelli Tim G. J. Rudner Chia-Man Hung Philip Torr Jakob N. Foerster Shimon Whiteson 47 932 0 11 Feb 2019
Learning to Schedule Communication in Multi-agent Reinforcement Learning Daewoo Kim Sang-chul Moon D. Hostallero Wan Ju Kang Taeyoung Lee Kyunghwan Son Yung Yi 37 205 0 05 Feb 2019
Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies Thomy Phan Kyrill Schmid Lenz Belzner Thomas Gabor Sebastian Feld Claudia Linnhoff-Popien 30 5 0 25 Jan 2019
Federated Deep Reinforcement Learning H. Zhuo Wenfeng Feng Yufeng Lin Qian Xu Qiang Yang FedML OffRL 18 88 0 24 Jan 2019
Improving Coordination in Small-Scale Multi-Agent Deep Reinforcement Learning through Memory-driven Communication E. Pesce Giovanni Montana 17 71 0 12 Jan 2019
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications Thanh Thi Nguyen Ngoc Duy Nguyen S. Nahavandi 27 774 0 31 Dec 2018
Communication-Efficient Policy Gradient Methods for Distributed Reinforcement Learning Tianyi Chen Kaipeng Zhang G. Giannakis Tamer Basar OffRL 29 41 0 07 Dec 2018
Finite-Sample Analysis For Decentralized Batch Multi-Agent Reinforcement Learning With Networked Agents Kaipeng Zhang Zhuoran Yang Han Liu Tong Zhang Tamer Basar OffRL 21 26 0 06 Dec 2018
Counterfactual Critic Multi-Agent Training for Scene Graph Generation Long Chen Hanwang Zhang Jun Xiao Xiangnan He Shiliang Pu Shih-Fu Chang 25 159 0 06 Dec 2018
Cooperative Multi-Agent Policy Gradients with Sub-optimal Demonstration Peixi Peng Junliang Xing 20 0 0 05 Dec 2018
Multi-agent Deep Reinforcement Learning with Extremely Noisy Observations Ozsel Kilinc Giovanni Montana 23 26 0 03 Dec 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 35 550 0 12 Oct 2018