Learning to Communicate with Deep Multi-Agent Reinforcement Learning

21 May 2016

Papers citing "Learning to Communicate with Deep Multi-Agent Reinforcement Learning"

50 / 271 papers shown

Title
Survey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing Centralized Training P. Sharma Rolando Fernandez Erin G. Zaroukian M. Dorothy Anjon Basak Derrik E. Asher 11 40 0 29 Jul 2021
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning Iou-Jen Liu Unnat Jain Raymond A. Yeh A. Schwing 33 104 0 23 Jul 2021
SA-MATD3:Self-attention-based multi-agent continuous control method in cooperative environments Kai Liu Yuyang Zhao Gang Wang Bei Peng 25 18 0 01 Jul 2021
Distributed Heuristic Multi-Agent Path Finding with Communication Ziyuan Ma Yudong Luo Hang Ma 15 69 0 21 Jun 2021
A Game-Theoretic Approach to Multi-Agent Trust Region Optimization Ying Wen Hui Chen Yaodong Yang Zheng Tian Minne Li Xu Chen Jun Wang 38 11 0 12 Jun 2021
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data Yang Hu Adriane P. Chapman Guihua Wen Dame Wendy Hall 42 24 0 11 Jun 2021
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning Daochen Zha Jingru Xie Wenye Ma Sheng Zhang Xiangru Lian Xia Hu Ji Liu 14 116 0 11 Jun 2021
Cooperative Multi-Agent Fairness and Equivariant Policies Niko A. Grupen B. Selman Daniel D. Lee FaML 11 11 0 10 Jun 2021
Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural Architectures for Real-Time Strategy Games Won Joon Yun Sungwon Yi Joongheon Kim 20 10 0 21 May 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence Emna Baccour N. Mhaisen A. Abdellatif A. Erbad Amr M. Mohamed Mounir Hamdi Mohsen Guizani 28 86 0 04 May 2021
Optimal communication and control strategies in a multi-agent MDP problem Sagar Sudhakara D. Kartik Rahul Jain A. Nayyar 14 3 0 22 Apr 2021
Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World Florian Laurent Manuel Schneider Christian Scheller J. Watson Jiaoyang Li ... Nilabha Bhattacharya Shivam Agarwal A. Egli Erik Nygren Sharada Mohanty 36 28 0 30 Mar 2021
Quasi-Equivalence Discovery for Zero-Shot Emergent Communication Kalesha Bullard Douwe Kiela Franziska Meier Joelle Pineau Jakob N. Foerster 25 20 0 14 Mar 2021
Adversarial attacks in consensus-based multi-agent reinforcement learning Martin Figura K. Kosaraju V. Gupta AAML 22 28 0 11 Mar 2021
Learning Connectivity for Data Distribution in Robot Teams Ekaterina V. Tolstaya Landon Butler Daniel Mox James Paulos Vijay R. Kumar Alejandro Ribeiro 14 10 0 08 Mar 2021
Expected Value of Communication for Planning in Ad Hoc Teamwork William Macke Reuth Mirsky Peter Stone 34 25 0 01 Mar 2021
Credit Assignment with Meta-Policy Gradient for Multi-Agent Reinforcement Learning Jianzhun Shao Hongchang Zhang Yuhang Jiang Shuncheng He Xiangyang Ji 29 5 0 24 Feb 2021
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning Weijiao Zhang Hao Liu Fan Wang Tong Xu Haoran Xin Dejing Dou Hui Xiong 32 79 0 15 Feb 2021
Interactive Learning from Activity Description Khanh Nguyen Dipendra Kumar Misra Robert Schapire Miroslav Dudík Patrick Shafto 47 34 0 13 Feb 2021
HAMMER: Multi-Level Coordination of Reinforcement Learning Agents via Learned Messaging Nikunj Gupta G. Srinivasaraghavan S. Mohalik Nishant Kumar Matthew E. Taylor 24 15 0 18 Jan 2021
Neurosymbolic Transformers for Multi-Agent Communication J. Inala Yichen Yang James Paulos Yewen Pu Osbert Bastani Vijay R. Kumar Martin Rinard Armando Solar-Lezama 24 24 0 05 Jan 2021
Open Problems in Cooperative AI Allan Dafoe Edward Hughes Yoram Bachrach Tantum Collins Kevin R. McKee Joel Z Leibo Kate Larson T. Graepel 26 199 0 15 Dec 2020
Grounding Artificial Intelligence in the Origins of Human Behavior Eleni Nisioti Clément Moulin-Frier AI4CE 39 5 0 15 Dec 2020
Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning Qingbiao Li Weizhe Lin Zhe Liu Amanda Prorok 24 130 0 26 Nov 2020
PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid Control Dong Chen Kaian Chen Tianshu Chu Rui Yao F. Qiu Kaixiang Lin 33 64 0 24 Nov 2020
Learning Latent Representations to Influence Multi-Agent Interaction Annie Xie Dylan P. Losey R. Tolsma Chelsea Finn Dorsa Sadigh DRL 21 132 0 12 Nov 2020
RODE: Learning Roles to Decompose Multi-Agent Tasks Tonghan Wang Tarun Gupta Anuj Mahajan Bei Peng Shimon Whiteson Chongjie Zhang OffRL 27 203 0 04 Oct 2020
Explaining Deep Neural Networks Oana-Maria Camburu XAI FAtt 28 26 0 04 Oct 2020
Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning Chi Zhang Philip Odonkor Shuai Zheng H. Khorasgani Susumu Serita Chetan Gupta 14 20 0 24 Aug 2020
Joint Policy Search for Multi-agent Collaboration with Imperfect Information Yuandong Tian Qucheng Gong Tina Jiang 29 19 0 14 Aug 2020
The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning J. Blumenkamp Amanda Prorok AAML AI4CE 16 59 0 06 Aug 2020
Off-Policy Multi-Agent Decomposed Policy Gradients Yihan Wang Beining Han Tonghan Wang Heng Dong Chongjie Zhang 27 174 0 24 Jul 2020
Value-Decomposition Multi-Agent Actor-Critics Jianyu Su Stephen C. Adams Peter A. Beling 68 101 0 24 Jul 2020
One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control Wenlong Huang Igor Mordatch Deepak Pathak 42 164 0 09 Jul 2020
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Gregory Farquhar Bei Peng Shimon Whiteson 24 345 0 18 Jun 2020
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks Georgios Papoudakis Filippos Christianos Lukas Schafer Stefano V. Albrecht OffRL 26 219 0 14 Jun 2020
Reinforcement Learning Under Moral Uncertainty Adrien Ecoffet Joel Lehman 17 32 0 08 Jun 2020
Emergent Multi-Agent Communication in the Deep Learning Era Angeliki Lazaridou Marco Baroni AI4CE 36 196 0 03 Jun 2020
Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization Jianhao Wang Zhizhou Ren Beining Han Jianing Ye Chongjie Zhang OffRL 21 32 0 31 May 2020
AI Research Considerations for Human Existential Safety (ARCHES) Andrew Critch David M. Krueger 22 50 0 30 May 2020
Multi-agent Communication meets Natural Language: Synergies between Functional and Structural Language Learning Angeliki Lazaridou Anna Potapenko O. Tieleman LLMAG 33 96 0 14 May 2020
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning Wenhao Li Bo Jin Xiangfeng Wang Junchi Yan H. Zha 25 21 0 17 Apr 2020
Multi-agent Reinforcement Learning for Networked System Control Tianshu Chu Sandeep P. Chinchali Sachin Katti 20 108 0 03 Apr 2020
Counterfactual Multi-Agent Reinforcement Learning with Graph Convolution Communication Jianyu Su Stephen C. Adams Peter A. Beling 18 26 0 01 Apr 2020
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Mikayel Samvelyan Christian Schroeder de Witt Gregory Farquhar Jakob N. Foerster Shimon Whiteson 49 768 0 19 Mar 2020
Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium Qiaomin Xie Yudong Chen Zhaoran Wang Zhuoran Yang 25 124 0 17 Feb 2020
Learning Multi-Agent Coordination through Connectivity-driven Communication E. Pesce Giovanni Montana 24 15 0 12 Feb 2020
Mean-Field Controls with Q-learning for Cooperative MARL: Convergence and Complexity Analysis Haotian Gu Xin Guo Xiaoli Wei Renyuan Xu 32 65 0 10 Feb 2020
Compositional Languages Emerge in a Neural Iterated Learning Model Yi Ren Shangmin Guo Matthieu Labeau Shay B. Cohen S. Kirby 9 96 0 04 Feb 2020
PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning Dor Livne Kobi Cohen 29 50 0 14 Jan 2020