Hidden Markov Model Estimation-Based Q-learning for Partially Observable Markov Decision Process.
Hyung-Jin YoonDonghwan LeeNaira HovakimyanPublished in: ACC (2019)
Keyphrases
- hidden markov models
- partially observable markov decision process
- state space
- reinforcement learning
- multi agent
- kernel density
- speech recognition
- decision theoretic
- markov models
- conditional random fields
- hidden states
- parameter estimation
- learning algorithm
- markov model
- partially observable
- function approximation
- markov chain
- state transition
- probabilistic model
- continuous hidden markov models