Policy Gradient With Value Function Approximation For Collective Multiagent Planning

9 April 2018

Papers citing "Policy Gradient With Value Function Approximation For Collective Multiagent Planning"

8 / 8 papers shown

Title
Symmetries-enhanced Multi-Agent Reinforcement Learning N. Bousias Stefanos Pertigkiozoglou Kostas Daniilidis George Pappas AI4CE 78 0 0 02 Jan 2025
A Survey of Machine Learning-Based Ride-Hailing Planning Dacheng Wen Yupeng Li F. Lau 29 4 0 26 Mar 2023
A Bibliometric Analysis and Review on Reinforcement Learning for Transportation Applications Can Li Lei Bai L. Yao S. Waller Wei Liu 40 14 0 26 Oct 2022
Communication-Efficient Actor-Critic Methods for Homogeneous Markov Games Dingyang Chen Yile Li Qi Zhang OffRL 31 10 0 18 Feb 2022
A New Formalism, Method and Open Issues for Zero-Shot Coordination Johannes Treutlein Michael Dennis Caspar Oesterheld Jakob N. Foerster OffRL 29 35 0 11 Jun 2021
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning Yaodong Yang Jianye Hao Guangyong Chen Hongyao Tang Yingfeng Chen Yujing Hu Changjie Fan Zhongyu Wei 23 52 0 10 Feb 2020
Context-Aware Deep Q-Network for Decentralized Cooperative Reconnaissance by a Robotic Swarm N. Mohanty M. S. Gadde Suresh Sundaram N. Sundararajan P. B. Sujit 8 3 0 31 Jan 2020
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments S. Srinivasan Marc Lanctot V. Zambaldi Julien Perolat K. Tuyls Rémi Munos Michael Bowling 13 148 0 21 Oct 2018