MARC: A multi-agent robots control framework for enhancing reinforcement learning in construction tasks

23 May 2023

Papers citing "MARC: A multi-agent robots control framework for enhancing reinforcement learning in construction tasks"

9 / 9 papers shown

Title
Multi-Agent Trust Region Policy Optimization Hepeng Li Haibo He 84 42 0 15 Oct 2020
A Closer Look at Invalid Action Masking in Policy Gradient Algorithms Shengyi Huang Santiago Ontañón 85 323 0 25 Jun 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 112 817 0 19 Mar 2020
Managing engineering systems with large state and action spaces through deep reinforcement learning Varun Chandrasekaran K. Papakonstantinou AI4CE 56 164 0 05 Nov 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 544 19,296 0 20 Jul 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
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 327 13,289 0 09 Sep 2015
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 129 3,439 0 08 Jun 2015
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 129 12,269 0 19 Dec 2013