Bid optimization using maximum entropy reinforcement learning.
Mengjuan LiuJinyu LiuZhengning HuYuchen GeXuyun NiePublished in: Neurocomputing (2022)
Keyphrases
- maximum entropy
- reinforcement learning
- iterative scaling
- maximum entropy principle
- markov models
- transformation based learning
- random fields
- conditional random fields
- probabilistic logic
- minimum cross entropy
- learning algorithm
- class conditional
- discrete optimization
- global optimization
- bregman divergences
- maximum entropy model
- pairwise
- principle of maximum entropy
- ground truth
- state space
- optimal solution
- bayesian networks