Theoretical analysis of DQN and its variants.
problem Understanding the theoretical foundations of deep Q-learning.
method Theoretical analysis of DQN and Minimax-DQN algorithms under mild assumptions.
result Established rates of convergence for action-value functions and provided justifications for DQN techniques.