Improving Generalization in Reinforcement Learning with Mixture Regularization.
Kaixin WangBingyi KangJie ShaoJiashi FengPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- model free
- machine learning
- state space
- function approximation
- regularization parameter
- markov decision processes
- neural network
- learning algorithm
- learning machines
- mixture model
- optimal policy
- regularization method
- data sets
- markov decision process
- reinforcement learning algorithms
- expectation maximization
- denoising
- supervised learning
- dynamic programming
- multi agent
- bayesian networks