Reinforcement Learning with Hidden Markov Models for Discovering Decision-Making Dynamics.
Xingche GuoDonglin ZengYuanjia WangPublished in: CoRR (2024)
Keyphrases
- hidden markov models
- reinforcement learning
- decision making
- hidden state
- speech recognition
- conditional random fields
- sequential data
- forward backward
- dynamic programming
- state space
- sequence classification
- gesture recognition
- markov models
- learning algorithm
- baum welch
- handwritten word recognition
- markov model
- markov decision processes
- hidden states
- multi agent
- random effects
- visual speech recognition
- viterbi algorithm
- optimal policy
- generative model