Hello everyone, My name is Vaibhav Gupta. I am a 3rd year undergraduate student pursuing my B.Tech in Computer Science and M.S by research in IIIT Hyderabad, India.
My research domain is Artificial Intelligence, specifically *Reinforcement Learning & Multi-agent Systems* in Machine Learning Lab, IIIT Hyderabad. I am doing my research under Prof. Praveen Paruchuri <https://scholar.google.com/citations?user=ILUqgKEAAAAJ&hl=en> and Prof. Balaraman Ravindaran <https://scholar.google.co.in/citations?user=nGUcGrYAAAAJ&hl=en>. I have past open source experience of contributing to ZENODO(CERN). Also, I was selected as intern in *The Linux Foundation* where my project revolved around coming up with various performance metrics for object storage. I have good understanding of *neural networks* and (as a part of my academic project). I have also implemented <https://github.com/guptavaibhav18197/student-teacher-transfer-learning> the paper - Distilling the knowledge in Neural Network <https://arxiv.org/abs/1503.02531> in which we try to transfer the learning of a larger network(teacher) to a relatively smaller network(student) making use of the logits of the teacher network. Currently, I am doing research in Reinforcement learning (Transfer learning) and trying to come up with a state granular confidence metric in simultaneously learning heterogeneous agents. I have sound knowledge of many prominent algorithms used in Reinforcement Learning. I have a sound background in data structures and algorithms and have qualified twice for *ACM ICPC* regionals. I have secured good rank in other programming contests too. I have good understanding of *C++* having done all my competitive programming and several different projects using it. I have gone through the project idea list of mlpack and found the project idea Reinforcement Learning really interesting. I have *read papers on Double DQN / Playing Atari with deep reinforcement learning* and have fairly good understanding of these. Attached is the exhaustive list of papers that I have implemented and read as part of research work. I am an enthusiast in reinforcement learning and am ready to read and learn on the go as the need be. Since I am new to mlpack please let me know as to how can I get started. Also since, there are no relevant tickets open at this time, please suggest me know how to proceed. Thanks Vaibhav Gupta
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