Policy Gradients in a NutShell
Introduction Reinforcement Learning (RL) refers to both the learning problem and the sub-field of machine learning which has lately been in the news for great reasons.
Read MoreโWe are what we are because we have been what we have been, and what is needed for solving the problems of human life and motives is not moral estimates but more knowledge.โ โSigmund Freud
Currently, I am working at Oracle, IN. My innate interest towards understanding the science of how brain functions, has kept me riveted to areas of Reinforcement Learning, Robotics and Machine Learning. My research is at an intersection of Reinforcement Learning and Machine Learning with a focus on real-world applications. I enjoy reading about human psychology and neuroscience and draw inspiration from it.
2015 -2019
B.M.S. College of Engineering,Bangalore,India
2015
Delhi Public School, Bokaro Steel city, India
Introduction Reinforcement Learning (RL) refers to both the learning problem and the sub-field of machine learning which has lately been in the news for great reasons.
Read MoreDeep Reinforcement Learning is the combination of Reinforcement Learning and Deep Learning and it is also the most trending type of Machine Learning at this moment because it is being able to solve a wide range of complex decision-making tasks that were previously out of reach for a machine to solve real-world problems with human-like intelligence.
Read MoreUnderstand the basic goto concepts to get a quick start on reinforcement learning and learn to test your algorithms with OpenAI gym to achieve research centric reproducible results.
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