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Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning.

Souradip ChakrabortyAmrit Singh BediAlec KoppelBrian M. SadlerFurong HuangPratap TokekarDinesh Manocha
Published in: CoRR (2022)
Keyphrases
  • model based reinforcement learning
  • markov decision processes
  • probability distribution
  • bayesian framework
  • machine learning
  • reinforcement learning
  • posterior probability
  • entity resolution