I'm looking for an expert in deep reinforcement learning to replicate an algorithmic pricing paper using DQN. My current implementation has failed to converge, and I need help with the algorithm implementation. Requirements: - Replicate DQN-based pricing algorithm from paper - Debug and fix convergence issues - Implement in Python (simulation environment) with Clear Explanations Ideal Skills: - Strong background in DQN and RL - Proficiency in Python - Experience with algorithm replication and debugging Please provide prior work samples.