Deep reinforcement learning for multiagent systems: A review of challenges, solutions, and applications

TT Nguyen, ND Nguyen… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Reinforcement learning (RL) algorithms have been around for decades and employed to
solve various sequential decision-making problems. These algorithms, however, have faced …

Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications.

TT Nguyen, ND Nguyen, S Nahavandi - IEEE Transactions on …, 2020 - europepmc.org
Reinforcement learning (RL) algorithms have been around for decades and employed to
solve various sequential decision-making problems. These algorithms, however, have faced …

Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications

TT Nguyen, ND Nguyen, S Nahavandi - arXiv preprint arXiv:1812.11794, 2018 - arxiv.org
Reinforcement learning (RL) algorithms have been around for decades and employed to
solve various sequential decision-making problems. These algorithms however have faced …

Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications

TT Nguyen, N Duy Nguyen, S Nahavandi - arXiv e-prints, 2018 - ui.adsabs.harvard.edu
Reinforcement learning (RL) algorithms have been around for decades and employed to
solve various sequential decision-making problems. These algorithms however have faced …

Deep reinforcement learning for multiagent systems: a review of challenges, solutions, and applications

TT Nguyen, ND Nguyen, S Nahavandi - 2020 - dro.deakin.edu.au
Reinforcement learning (RL) algorithms have been around for decades and employed to
solve various sequential decision-making problems. These algorithms, however, have faced …

[PDF][PDF] Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications

TT Nguyen, ND Nguyen, S Nahavandi - arXiv preprint arXiv …, 2018 - academia.edu
Reinforcement learning (RL) algorithms have been around for decades and employed to
solve various sequential decision-making problems. These algorithms however have faced …

Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications

TT Nguyen, ND Nguyen… - IEEE transactions on …, 2020 - pubmed.ncbi.nlm.nih.gov
Reinforcement learning (RL) algorithms have been around for decades and employed to
solve various sequential decision-making problems. These algorithms, however, have faced …

[PDF][PDF] Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications

TT Nguyen, ND Nguyen… - arXiv preprint arXiv …, 2018 - researchgate.net
Reinforcement learning (RL) algorithms have been around for decades and employed to
solve various sequential decision-making problems. These algorithms however have faced …

[PDF][PDF] Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications

TT Nguyen, ND Nguyen, S Nahavandi - arXiv preprint arXiv …, 2018 - academia.edu
Reinforcement learning (RL) algorithms have been around for decades and employed to
solve various sequential decision-making problems. These algorithms however have faced …

[PDF][PDF] Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications

TT Nguyen, ND Nguyen… - arXiv preprint arXiv …, 2018 - researchgate.net
Reinforcement learning (RL) algorithms have been around for decades and employed to
solve various sequential decision-making problems. These algorithms however have faced …