Compared different Neurosymbolic and symbolic models for a simple task of link prediction. More details.
Implemented Q-learning for relational domains like blocksworld, where the states are represented using first-order logic predicates. [ code ]
Providing state abstraction for better task transfer in taskable reinforcement learning environments using D-FOCI statements. [ code ]
This is a DARPA funded project to build intelligent minecraft agent that can communicate and collaborate with humans through chat to build structures. [ video ]
Leveraging qualitative domain knowledge while learning tree based gradient boosting models to improve predictions in regions where data is noisy or absent. Kokel et al. AAAI 2020.
Used meta-learning techniques to optimize the graph structure for obtaining sparse graph. Wan and Kokel, DLG 2021.
Discovering causal molecular relationships from the evaluation of observational data using do-calculus. More details.
Developed an interface that allows users with basic understanding of ER Diagrams to provide search bias for Inductive Logic Programming based. As described in Hayes et al. 2017. [ code ]
A small project to detect wink and shush expression using OpenCV. [ code ]
Learning polices for management of children on ECMO using batch reinforcement learning techniques. More details.
Learnt and evaluated a statistical relational model for Kaggle Home credit default risk dataset and compared it with propositional models.
Implementation of various first-order and second-order gradient methods for optimization. Including Barzilai-Borwein Gradient Descent, Conjugate Gradient Descent, Limited Memory BFGS and Armijo Line-search. [ code ]
My basket of Machine Learning and AI algorithms implemented over time. [ code ]
