harsha kokel
Blog posts
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Hierarchical Reinforcement Learning
An overview of Hierarchical RL. Written as part of Advanced RL course by Prof. Sriraam Natarajan.
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Active Advice Seeking for Inverse Reinforcement Learning
My notes on Phillip Odom and Sriraam Natarajan, AAMAS 2016.
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Minimal Sufficient Explanation
My notes on Omar Zia Khan, Pascal Poupart, and James P Black, ICAPS 2009
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Advice based relational learning
As part of an independent study with Prof. Sriraam Natarajan, I read advice-based methods for data in relational first-order logic. Here are my notes on it.
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SRL for Myocardial Infarction
It is no secret that my motivation to do a Ph.D. is to uncover how AI can help improve healthcare. Weiss, Natarajan et al. (IAAI 2012) is one of the first papers I read to start my Ph.D. journey.
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BLOG: Relational Modeling with Unknown Objects
BLOG by Milch et al. provides a language which help us model random functions and probabilistic properties of unknown objects. Going beyong Herbrand Universe. This mainly reviews the key contributions and limitations of that paper. Written as part of the Statistical Relational Learning course by Prof.Sriraam Natarajan.