Model-Based and Model-Free Algorithms in Reinforcement Learning

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Are you uncertain about the ideal computational strategy for your startup? Join us in the latest episode of XgridTalks, where ML Expert Johannes Castner (Founder - CollectiWise) and Saad Arshed (COO, Xgrid) shed light on the two key approaches: model-based and model-free algorithms in Reinforcement Learning. Explore the advantages and nuances of each algorithmic method to determine the most suitable path for your startup. Tune in now to gain valuable insights into the world of Reinforcement Learning and make informed decisions for your business.

Speakers

Johannes Castner (Founder - CollectiWise)

Saad Arshed (COO, Xgrid)

Xgrid Services

Full Episode

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

Connect With Us

  1. Xgrid
  2. Reinforcement Learning
  3. Xgrid
  4. XgridTalks
  5. model based reinforcement learning
  6. model free reinforcement learning
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