Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Coordination by Multi-Critic Policy Gradient Optimization

31 December 2020

Papers citing "Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Coordination by Multi-Critic Policy Gradient Optimization"

25 / 25 papers shown

Title
The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning J. Blumenkamp Amanda Prorok AAML AI4CE 67 59 0 06 Aug 2020
Deep Reinforcement Learning based Local Planner for UAV Obstacle Avoidance using Demonstration Data Lei He Nabil Aouf J. Whidborne Bifeng Song 45 27 0 06 Aug 2020
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms Kai Zhang Zhuoran Yang Tamer Basar 213 1,224 0 24 Nov 2019
A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation Runzhe Yang Xingyuan Sun Karthik Narasimhan 79 256 0 21 Aug 2019
Modified Actor-Critics Erinc Merdivan S. Hanke Matthieu Geist 43 2 0 02 Jul 2019
CoUAV: A Cooperative UAV Fleet Control and Monitoring Platform Weiwei Wu Ziyao Huang Feng Shan Yuxin Bian K. Lu Zhengjiang Li Jianping Wang 25 5 0 08 Apr 2019
Model-Based Reinforcement Learning via Meta-Policy Optimization I. Clavera Jonas Rothfuss John Schulman Yasuhiro Fujita Tamim Asfour Pieter Abbeel 74 228 0 14 Sep 2018
Multi-task Deep Reinforcement Learning with PopArt Matteo Hessel Hubert Soyer L. Espeholt Wojciech M. Czarnecki Simon Schmitt H. V. Hasselt 132 319 0 12 Sep 2018
Reinforcement Learning for UAV Attitude Control W. Koch R. Mancuso R. West Azer Bestavros 79 386 0 11 Apr 2018
Cooperative and Distributed Reinforcement Learning of Drones for Field Coverage H. Pham Hung M. La David Feil-Seifer L. Nguyen 37 96 0 20 Mar 2018
Model-Ensemble Trust-Region Policy Optimization Thanard Kurutach I. Clavera Yan Duan Aviv Tamar Pieter Abbeel 84 452 0 28 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 317 8,406 0 04 Jan 2018
Learning Unmanned Aerial Vehicle Control for Autonomous Target Following Siyi Li Tianbo Liu Chi Zhang Dit-Yan Yeung Shaojie Shen 44 38 0 24 Sep 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 535 19,265 0 20 Jul 2017
An Overview of Multi-Task Learning in Deep Neural Networks Sebastian Ruder CVBM 159 2,831 0 15 Jun 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments Ryan J. Lowe Yi Wu Aviv Tamar J. Harb Pieter Abbeel Igor Mordatch 162 4,509 0 07 Jun 2017
Constrained Policy Optimization Joshua Achiam David Held Aviv Tamar Pieter Abbeel 129 1,331 0 30 May 2017
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability Shayegan Omidshafiei Jason Pazis Chris Amato Jonathan P. How J. Vian 134 498 0 17 Mar 2017
Sample Efficient Actor-Critic with Experience Replay Ziyun Wang V. Bapst N. Heess Volodymyr Mnih Rémi Munos Koray Kavukcuoglu Nando de Freitas 104 762 0 03 Nov 2016
Concrete Problems in AI Safety Dario Amodei C. Olah Jacob Steinhardt Paul Christiano John Schulman Dandelion Mané 242 2,404 0 21 Jun 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 223 5,086 0 05 Jun 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 207 8,879 0 04 Feb 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 325 13,286 0 09 Sep 2015
Deep Recurrent Q-Learning for Partially Observable MDPs Matthew J. Hausknecht Peter Stone 108 1,685 0 23 Jul 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 277 6,796 0 19 Feb 2015