Refined Sample Complexity for Markov Games with Independent Linear Function Approximation.
Yan DaiQiwen CuiSimon S. DuPublished in: CoRR (2024)
Keyphrases
- function approximation
- sample complexity
- reinforcement learning
- reinforcement learning algorithms
- learning problems
- learning tasks
- function approximators
- learning algorithm
- upper bound
- supervised learning
- temporal difference learning
- lower bound
- special case
- radial basis function
- active learning
- model free
- temporal difference
- training examples
- machine learning algorithms
- state space
- decision trees
- machine learning
- sample size
- multi agent
- feature selection