CESMA: Centralized Expert Supervises Multi-Agents
Lin et al.: https://arxiv.org/abs/1902.02311
#MultiagentSystems #ArtificialIntelligence #MachineLearning #Systems #Control
Lin et al.: https://arxiv.org/abs/1902.02311
#MultiagentSystems #ArtificialIntelligence #MachineLearning #Systems #Control
Meta-Learning with Implicit Gradients
Aravind Rajeswaran, Chelsea Finn, Sham Kakade, Sergey Levine : https://arxiv.org/abs/1909.04630
#MachineLearning #ArtificialIntelligence #Optimization #Control #MetaLearning
Aravind Rajeswaran, Chelsea Finn, Sham Kakade, Sergey Levine : https://arxiv.org/abs/1909.04630
#MachineLearning #ArtificialIntelligence #Optimization #Control #MetaLearning
arXiv.org
Meta-Learning with Implicit Gradients
A core capability of intelligent systems is the ability to quickly learn new tasks by drawing on prior experience. Gradient (or optimization) based meta-learning has recently emerged as an...
Meta-Learning with Implicit Gradients
Aravind Rajeswaran, Chelsea Finn, Sham Kakade, Sergey Levine : https://arxiv.org/abs/1909.04630
#MachineLearning #ArtificialIntelligence #Optimization #Control #MetaLearning
Aravind Rajeswaran, Chelsea Finn, Sham Kakade, Sergey Levine : https://arxiv.org/abs/1909.04630
#MachineLearning #ArtificialIntelligence #Optimization #Control #MetaLearning
arXiv.org
Meta-Learning with Implicit Gradients
A core capability of intelligent systems is the ability to quickly learn new tasks by drawing on prior experience. Gradient (or optimization) based meta-learning has recently emerged as an...
Logarithmic Regret for Online Control
Naman Agarwal, Elad Hazan, Karan Singh : https://arxiv.org/abs/1909.05062
#MachineLearning #Optimization #Control
Naman Agarwal, Elad Hazan, Karan Singh : https://arxiv.org/abs/1909.05062
#MachineLearning #Optimization #Control
arXiv.org
Logarithmic Regret for Online Control
We study optimal regret bounds for control in linear dynamical systems under
adversarially changing strongly convex cost functions, given the knowledge of
transition dynamics. This includes...
adversarially changing strongly convex cost functions, given the knowledge of
transition dynamics. This includes...
A Modern Introduction to Online Learning
Francesco Orabona : https://arxiv.org/abs/1912.13213
#MachineLearning #Optimization #Control
Francesco Orabona : https://arxiv.org/abs/1912.13213
#MachineLearning #Optimization #Control