Evaluating Generalization and Transfer Capacity of Multi-Agent Reinforcement Learning Across Variable Number of Agents

28 November 2021

Papers citing "Evaluating Generalization and Transfer Capacity of Multi-Agent Reinforcement Learning Across Variable Number of Agents"

8 / 8 papers shown

Title
Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning Sheng Li Jayesh K. Gupta Peter Morales R. Allen Mykel J. Kochenderfer GNN 56 84 0 19 Jun 2020
Deep Coordination Graphs Wendelin Bohmer Vitaly Kurin Shimon Whiteson GNN 61 178 0 27 Sep 2019
Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks Amanpreet Singh Tushar Jain Sainbayar Sukhbaatar 109 243 0 23 Dec 2018
Graph Convolutional Reinforcement Learning Jiechuan Jiang Chen Dun Tiejun Huang Zongqing Lu GNN 42 337 0 22 Oct 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 392 18,931 0 20 Jul 2017
Value-Decomposition Networks For Cooperative Multi-Agent Learning P. Sunehag Guy Lever A. Gruslys Wojciech M. Czarnecki V. Zambaldi ... Marc Lanctot Nicolas Sonnerat Joel Z Leibo K. Tuyls T. Graepel 67 1,002 0 16 Jun 2017
Counterfactual Multi-Agent Policy Gradients Jakob N. Foerster Gregory Farquhar Triantafyllos Afouras Nantas Nardelli Shimon Whiteson 89 2,069 0 24 May 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 559 28,964 0 09 Sep 2016