Model-Based Reinforcement Learning with Multinomial Logistic Function Approximation.
Taehyun HwangMin-hwan OhPublished in: CoRR (2022)
Keyphrases
- function approximation
- model based reinforcement learning
- reinforcement learning
- markov decision processes
- probabilistic model
- temporal difference
- text classification
- state space
- model free
- text categorization
- reinforcement learning algorithms
- optimal policy
- learning tasks
- function approximators
- radial basis function
- learning algorithm
- machine learning
- finite state
- expectation maximization
- partially observable
- policy iteration
- knn
- markov decision problems
- transfer learning
- maximum likelihood
- collaborative filtering
- average cost
- action space