On the Convergence and Sample Complexity Analysis of Deep Q-Networks with epsilon-Greedy Exploration
- Shuai Zhang
- Hongkang Li
- et al.
- NeurIPS 2023
Dr. Subhajit Chaudhury is a Senior Research Scientist at IBM TJ Watson Research Center, New York, working on improving factuality in generative large language models, text-based reinforcement learning, and computer vision. I obtained my Ph.D. from the University of Tokyo working with Prof. Toshihiko Yamasaki on the topic of robust deep learning methods against adversarial vulnerabilities in neural networks. I received my master's degree in Electrical Engineering from IIT Bombay in 2014 working with Prof. Subhasis Chaudhuri. I received my bachelor's degree in Electrical Engineering from Jadavpur University in 2012.