https://abhijeetkrishnan.me/technical/ Recent content in Technical on Abhijeet Krishnan's Website https://abhijeetkrishnan.me/%3Clink%20or%20path%20of%20image%20for%20opengraph,%20twitter-cards%3E https://abhijeetkrishnan.me/%3Clink%20or%20path%20of%20image%20for%20opengraph,%20twitter-cards%3E Hugo en Sun, 06 Sep 2026 00:00:00 +0000 https://abhijeetkrishnan.me/technical/card-trick-explainer/ Sun, 06 Sep 2026 00:00:00 +0000 https://abhijeetkrishnan.me/technical/card-trick-explainer/ Explaining a mysterious bit of card magic using parity https://abhijeetkrishnan.me/technical/chopsticks-optimal/ Sat, 05 Sep 2026 00:00:00 +0000 https://abhijeetkrishnan.me/technical/chopsticks-optimal/ Reminiscing about the game of chopsticks and deriving the optimal play for it https://abhijeetkrishnan.me/technical/variable-swap-cost-sort/ Sun, 24 Nov 2024 00:00:00 +0000 https://abhijeetkrishnan.me/technical/variable-swap-cost-sort/ How do we sort a stack of dishes if removing and inserting a dish has a variable cost? https://abhijeetkrishnan.me/technical/2023-07-21-interview-problem/ Fri, 21 Jul 2023 00:00:00 +0000 https://abhijeetkrishnan.me/technical/2023-07-21-interview-problem/ Solving an interview problem that intrigued me. https://abhijeetkrishnan.me/technical/double-elim-bracket-maths/ Sat, 08 Jul 2023 00:00:00 +0000 https://abhijeetkrishnan.me/technical/double-elim-bracket-maths/ Deriving some results regarding double elimination brackets. https://abhijeetkrishnan.me/technical/elementalizing-names-for-breaking-bad/ Sun, 16 May 2021 00:00:00 +0000 https://abhijeetkrishnan.me/technical/elementalizing-names-for-breaking-bad/ Attempting to use bipartite graphs to help Breaking Bad with its unique opening credits. https://abhijeetkrishnan.me/technical/2021-04-23-local-interpretability-of-ml-models/ Fri, 23 Apr 2021 00:00:00 +0000 https://abhijeetkrishnan.me/technical/2021-04-23-local-interpretability-of-ml-models/ Summarizing and providing my notes on the paper - Assessing the Local Interpretability of Machine Learning Models by Slack et. al. (2019) https://abhijeetkrishnan.me/technical/paper-reivew-kliegr/ Wed, 21 Apr 2021 00:00:00 +0000 https://abhijeetkrishnan.me/technical/paper-reivew-kliegr/ Summarizing and providing my notes on the paper - A review of possible effects of cognitive biases on interpretation of rule-based machine learning models by Kliegr, Bahník and Fürnkranz (2021) https://abhijeetkrishnan.me/technical/2021-03-24-designer-friendly-ml-rl/ Wed, 24 Mar 2021 00:00:00 +0000 https://abhijeetkrishnan.me/technical/2021-03-24-designer-friendly-ml-rl/ Summarizing and providing my notes on the research talk - Designer-friendly Machine Learning and Reinforcement Learning for Video Games by Adith Swaminathan & Brian Broll (2021) https://abhijeetkrishnan.me/technical/2021-03-24-human-ai-co-creation/ Wed, 24 Mar 2021 00:00:00 +0000 https://abhijeetkrishnan.me/technical/2021-03-24-human-ai-co-creation/ Summarizing and providing my notes on the research talk - Human-AI Co-creation for Games and Game Creators by Mikhail Jacob (2021) https://abhijeetkrishnan.me/technical/2021-03-22-how-to-write-a-great-research-paper/ Mon, 22 Mar 2021 00:00:00 +0000 https://abhijeetkrishnan.me/technical/2021-03-22-how-to-write-a-great-research-paper/ Summarizing and providing my notes on the talk - How to write a great research paper by Simon Peyton Jones (2016) https://abhijeetkrishnan.me/technical/2021-03-08-interpretable-strategies/ Mon, 08 Mar 2021 00:00:00 +0000 https://abhijeetkrishnan.me/technical/2021-03-08-interpretable-strategies/ Summarizing and providing my notes on the paper - Synthesizing Interpretable Strategies for Solving Puzzle Games by Butler, Torlak & Popović (2017) https://abhijeetkrishnan.me/technical/2021-02-28-multi-task-rl/ Sun, 28 Feb 2021 00:00:00 +0000 https://abhijeetkrishnan.me/technical/2021-02-28-multi-task-rl/ Summarizing and providing my notes on the paper - Hierarchical and Interpretable Skill Acquisition in Multi-Task Reinforcement Learning by Shu, Xiong & Socher (2017) https://abhijeetkrishnan.me/technical/2021-02-25-programmatically-interpretable/ Thu, 25 Feb 2021 00:00:00 +0000 https://abhijeetkrishnan.me/technical/2021-02-25-programmatically-interpretable/ Summarizing and providing my notes on the paper - Programmatically Interpretable Reinforcement Learning by Verma et. al. (2018) https://abhijeetkrishnan.me/technical/paper-review-coppens/ Sat, 20 Feb 2021 00:00:00 +0000 https://abhijeetkrishnan.me/technical/paper-review-coppens/ Summarizing and providing my notes on the paper - Distilling Deep Reinforcement Learning Policies in Soft Decision Trees by Coppens et. al. (2019) https://abhijeetkrishnan.me/technical/2021-02-17-contrastive-explanations/ Wed, 17 Feb 2021 00:00:00 +0000 https://abhijeetkrishnan.me/technical/2021-02-17-contrastive-explanations/ Summarizing and providing my notes on the paper - Contrastive explanations for reinforcement learning in terms of expected consequences by van der Waa et. al. (2018) https://abhijeetkrishnan.me/technical/paper-review-zahavy/ Fri, 12 Feb 2021 00:00:00 +0000 https://abhijeetkrishnan.me/technical/paper-review-zahavy/ Summarizing and providing my notes on the paper - Graying the black box: Understanding DQNs by Zahavy, Ben-Zrihem & Mannor (2016) https://abhijeetkrishnan.me/technical/2021-02-09-robot-controller-transparency/ Tue, 09 Feb 2021 00:00:00 +0000 https://abhijeetkrishnan.me/technical/2021-02-09-robot-controller-transparency/ Summarizing and providing my notes on the paper - Improving Robot Controller Transparency Through Autonomous Policy Explanation by Hayes & Shah (2017) https://abhijeetkrishnan.me/technical/2021-02-07-policy-distillation/ Sun, 07 Feb 2021 00:00:00 +0000 https://abhijeetkrishnan.me/technical/2021-02-07-policy-distillation/ Summarizing and providing my notes on the paper - Policy Distillation by Rusu et. al. (2016) https://abhijeetkrishnan.me/technical/2021-02-03-lmut/ Wed, 03 Feb 2021 00:00:00 +0000 https://abhijeetkrishnan.me/technical/2021-02-03-lmut/ Summarizing and providing my notes on the paper - Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees by Liu et. al. (2018) https://abhijeetkrishnan.me/technical/2021-01-21-causal-lens/ Thu, 21 Jan 2021 00:00:00 +0000 https://abhijeetkrishnan.me/technical/2021-01-21-causal-lens/ Summarizing and providing my notes on the paper - Explainable Reinforcement Learning Through a Causal Lens by Madumal et. al. (2020) https://abhijeetkrishnan.me/technical/2021-01-20-human-interpretability-evaluation/ Wed, 20 Jan 2021 00:00:00 +0000 https://abhijeetkrishnan.me/technical/2021-01-20-human-interpretability-evaluation/ Summarizing and providing my notes on the paper - An Evaluation of the Human-Interpretability of Explanation by Lage et. al. (2019) https://abhijeetkrishnan.me/technical/knexus-intern/ Thu, 17 Dec 2020 00:00:00 +0000 https://abhijeetkrishnan.me/technical/knexus-intern/ A retrospective of my time interning with Knexus Research, the problem I solved, and what I learned https://abhijeetkrishnan.me/technical/python-int-objects/ Wed, 09 Dec 2020 00:00:00 +0000 https://abhijeetkrishnan.me/technical/python-int-objects/ An investigation into a curious implementation detail of Python integer objects, and a quantitative explanation of the choices behind it. https://abhijeetkrishnan.me/technical/2020-12-08-first-research-paper/ Tue, 08 Dec 2020 00:00:00 +0000 https://abhijeetkrishnan.me/technical/2020-12-08-first-research-paper/ A retrospective on the problem-solving path that led to my first publication. https://abhijeetkrishnan.me/technical/2019-12-18-codechef-dec19/ Wed, 18 Dec 2019 00:00:00 +0000 https://abhijeetkrishnan.me/technical/2019-12-18-codechef-dec19/ An editorial for the Dec ‘19 Div. 1 long contest on Codechef. https://abhijeetkrishnan.me/technical/2019-11-17-codechef-nov19/ Sun, 17 Nov 2019 00:00:00 +0000 https://abhijeetkrishnan.me/technical/2019-11-17-codechef-nov19/ An editorial for the Nov ‘19 Div. 2 long contest on Codechef. https://abhijeetkrishnan.me/technical/2015-10-06-gayle-livestream/ Tue, 06 Oct 2015 00:00:00 +0000 https://abhijeetkrishnan.me/technical/2015-10-06-gayle-livestream/ My notes from the Q&A by Gayle Laakman McDowell on Acing Programming Interviews