Model-Based Reinforcement Learning with Multinomial Logistic Function Approximation.
Taehyun HwangMin-hwan OhPublished in: AAAI (2023)
Keyphrases
- function approximation
- model based reinforcement learning
- reinforcement learning
- markov decision processes
- text classification
- temporal difference
- model free
- probabilistic model
- state space
- text categorization
- optimal policy
- reinforcement learning algorithms
- radial basis function
- learning tasks
- expectation maximization
- partially observable
- data mining
- dynamic programming
- artificial neural networks
- finite state
- policy iteration
- function approximators
- markov decision problems
- transfer learning
- graphical models
- markov random field
- action space
- learning algorithm