Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions.
Xiaotie DengXinyan HuTao LinWeiqiang ZhengPublished in: CoRR (2021)
Keyphrases
- learning algorithm
- machine learning
- training data
- convergence rate
- machine learning algorithms
- resource allocation
- learning tasks
- active learning
- supervised learning
- learning rate
- convergence speed
- learning problems
- efficient learning
- game theory
- utility function
- multi attribute
- training samples
- mechanism design
- reinforcement learning
- iterative algorithms
- cooperative game
- information revelation
- transfer learning
- combinatorial auctions
- social welfare
- decision tree learning