Multi-Agent Path Finding via Tree LSTM

24 October 2022

Papers citing "Multi-Agent Path Finding via Tree LSTM"

8 / 8 papers shown

Title
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 51 27 0 30 Mar 2021
Flatland-RL : Multi-Agent Reinforcement Learning on Trains Sharada Mohanty Erik Nygren Florian Laurent Manuel Schneider Christian Scheller ... Christian Baumberger Gereon Vienken Irene Sturm Guillaume Sartoretti G. Spigler OffRL 79 58 0 10 Dec 2020
Dota 2 with Large Scale Deep Reinforcement Learning OpenAI OpenAI : Christopher Berner Greg Brockman Brooke Chan ... Szymon Sidor Ilya Sutskever Jie Tang Filip Wolski Susan Zhang GNN VLM CLL AI4CE LRM 161 1,823 0 13 Dec 2019
Multi-Agent Path Finding with Deadlines: Preliminary Results Hang Ma Glenn Wagner Ariel Felner Jiaoyang Li T. K. S. Kumar Sven Koenig AI4CE 70 61 0 13 May 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 493 19,019 0 20 Jul 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 690 131,526 0 12 Jun 2017
Multi-Agent Path Finding with Delay Probabilities Hang Ma T. K. S. Kumar Sven Koenig AI4CE 44 115 0 15 Dec 2016
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks Kai Sheng Tai R. Socher Christopher D. Manning AIMat 135 3,119 0 28 Feb 2015