Bayesian inference approach for entropy regularized reinforcement learning with stochastic dynamics.
Argenis ArriojasJacob AdamczykStas TiomkinRahul V. KulkarniPublished in: UAI (2023)
Keyphrases
- bayesian inference
- reinforcement learning
- direct policy search
- stochastic approximation
- probabilistic model
- prior information
- hyperparameters
- information theory
- variational inference
- particle filter
- hierarchical bayesian
- information theoretic
- gibbs sampler
- variational bayes
- least squares
- monte carlo
- statistical inference
- bayesian model
- state space
- dynamical systems
- weighted model counting
- expectation propagation
- machine learning
- variational approximation
- markov decision processes
- learning algorithm
- prior distribution
- markov chain monte carlo
- bayesian models
- latent variables