Optimization for reinforcement learning: From a single agent to cooperative agents

D Lee, N He, P Kamalaruban… - IEEE Signal Processing …, 2020 - ieeexplore.ieee.org
Fueled by recent advances in deep neural networks, reinforcement learning (RL) has been
in the limelight because of many recent breakthroughs in artificial intelligence, including …

Optimization for Reinforcement Learning: From a single agent to cooperative agents

D Lee, N He, P Kamalaruban… - IEEE SIGNAL …, 2020 - koasas.kaist.ac.kr
Fueled by recent advances in deep neural networks, reinforcement learning (RL) has been
in the limelight because of many recent breakthroughs in artificial intelligence, including …

Optimization for Reinforcement Learning: From a single agent to cooperative agents

D Lee, N He, P Kamalaruban… - IEEE Signal Processing …, 2020 - pure.kaist.ac.kr
Fueled by recent advances in deep neural networks, reinforcement learning (RL) has been
in the limelight because of many recent breakthroughs in artificial intelligence, including …

[PDF][PDF] Optimization for Reinforcement Learning: From a single agent to cooperative agents

D Lee, N He, P Kamalaruban, V Cevher - IEEE Signal Processing …, 2020 - par.nsf.gov
Often, cooperationamongmultipleRLagentsismuch…: multipleagentsmustcollaborate
tocompleteacommongoal, expeditelearning, protectprivacy …

Optimization for Reinforcement Learning: From a single agent to cooperative agents

D Lee, N He, P Kamalaruban… - IEEE Signal Processing …, 2020 - ui.adsabs.harvard.edu
This article reviews recent advances in multi-agent reinforcement learning algorithms for
large-scale control systems and communication networks, which learn to communicate and …

Optimization for Reinforcement Learning: From a single agent to cooperative agents

D Lee, N He, P Kamalaruban… - Ieee Signal Processing …, 2020 - infoscience.epfl.ch
Fueled by recent advances in deep neural networks, reinforcement learning (RL) has been
in the limelight because of many recent breakthroughs in artificial intelligence, including …

Optimization for Reinforcement Learning: From Single Agent to Cooperative Agents

D Lee, N He, P Kamalaruban, V Cevher - arXiv preprint arXiv:1912.00498, 2019 - arxiv.org
This article reviews recent advances in multi-agent reinforcement learning algorithms for
large-scale control systems and communication networks, which learn to communicate and …