How Are Value-Based, Policy-Based, and Model-Based Methods Different in Reinforcement Learning?

Discover the fascinating world of Reinforcement Learning methods in our latest episode of XgridTalks titled "Reinforcement Learning: Introduction, Algorithms, and Uses." Join Saad Arshed (COO, Xgrid) as he interviews our ML expert Johannes Castner (Founder - CollectiWise) who explains the three types of Reinforcement Learning currently practiced in the industry: Value-based Reinforcement Learning, Policy-based Reinforcement Learning, and Model-based Reinforcement Learning. Gain valuable insights into the key differences between these methods and explore their applications.

Speakers

Johannes Castner (Founder - CollectiWise)

Saad Arshed (COO, Xgrid)

Xgrid Services

Full Episode

Hashtags
#ReinforcementLearning #QLearning #DeepReinforcementLearning #ReinforcementMachineLearning #MachineLearning #DeepLearning #DeepQNetworks #NeuralNetwork #ArtificialNeuralNetwork #ReinforcementLearningAlgorithm

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