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Riad Akrour
Affiliation
Intelligent Autonomous Systems Laboratory, Technische Universität Darmstadt, Darmstadt, Germany
Topic
Optimal Policy,Reward Function,Markov Decision Process,Policy Update,Reinforcement Learning Algorithm,Reinforcement Learning Framework,State Space,Continuous Action,Deep Reinforcement Learning,Goal Position,Imitation Learning,Neural Network,Policy Learning,Policy Search,Reward Model,Sampling Efficiency,Value Function,Abstract States,Acoustic Channel,Alignment Problem,Alignment Process,Alignment Task,Autonomous Underwater Vehicles,Ball Position,Ball Trajectory,Bayesian Optimization,Bit Error Rate,Black Curve,Bottom Hole,Challenging Problem,Changes In Context,Cluster Centers,Column Vector,Complex Policy,Constrained Optimization Problem,Contextual Settings,Continuous Reinforcement,Curriculum Learning,Decision Tree,Deep Reinforcement Learning Algorithm,Denominator Of Eq,Dexterous Manipulation,Differential Equations,Direct Policy Search,Discrete Action,Discretion,Efficiency Metrics,Energy Consumption,External Disturbances,Function Approximation,
Biography
Riad Akrour received the Ph.D. degree in computer science from the University of Paris-Saclay (Paris XI), Gif-sur-Yvette, France, in 2014.
He is currently a Researcher with the Scool team, Inria Lille, Villeneuve-d’Ascq, France. Before that, he did a Postdoc with TU Darmstadt, Darmstadt, Germany, and with Aalto University, Espoo, Finland. His research interests include reinforcement learning, continuous optimization, and robotics.
He is currently a Researcher with the Scool team, Inria Lille, Villeneuve-d’Ascq, France. Before that, he did a Postdoc with TU Darmstadt, Darmstadt, Germany, and with Aalto University, Espoo, Finland. His research interests include reinforcement learning, continuous optimization, and robotics.