Aditya Mohan

Lab: Learning and Intelligent Systems GroupResearch Topic: Reward Shaping is a way to incorporate domain-related information into the learning process of an agent by taking a sparse reward signal and applying a transformation on it. The information encoded in this transformation can be based on things like the nature of the geometry in which the agent operates, the position of objects, etc. My task was to test an approach where a planner is used to generate a path that is then used to shape sparse rewards s

The EIT Digital Master School is a two-year program where you can choose two universities in two different European countries to build a curriculum of your choice based on your skills and interest. I chose the Autonomous Systems track with TU-Berlin ( Berlin, Germany) as Entry University and EUREOM

Activities and Societies: Project ATOM; Parikshit Student Satellite Team; IAESTE LC Manipal; The Empyrean; Etude Acapella Group;