Paper Summary - Programmatically Interpretable Reinforcement Learning

Summarizing and providing my notes on the paper - Programmatically Interpretable Reinforcement Learning by Verma et. al. (2018)

February 25, 2021 · 7 min · 1395 words · Abhijeet Krishnan

Paper Summary - Distilling Deep Reinforcement Learning Policies in Soft Decision Trees

Summarizing and providing my notes on the paper - Distilling Deep Reinforcement Learning Policies in Soft Decision Trees by Coppens et. al. (2019)

February 20, 2021 · 5 min · 1015 words · Abhijeet Krishnan

Paper Summary - Contrastive explanations for reinforcement learning in terms of expected consequences

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)

February 17, 2021 · 7 min · 1436 words · Abhijeet Krishnan

Paper Summary - Graying the black box: Understanding DQNs

Summarizing and providing my notes on the paper - Graying the black box: Understanding DQNs by Zahavy, Ben-Zrihem & Mannor (2016)

February 12, 2021 · 6 min · 1208 words · Abhijeet Krishnan

Paper Summary - Improving Robot Controller Transparency Through Autonomous Policy Explanation

Summarizing and providing my notes on the paper - Improving Robot Controller Transparency Through Autonomous Policy Explanation by Hayes & Shah (2017)

February 9, 2021 · 8 min · 1703 words · Abhijeet Krishnan

Paper Summary - Policy Distillation

Summarizing and providing my notes on the paper - Policy Distillation by Rusu et. al. (2016)

February 7, 2021 · 6 min · 1132 words · Abhijeet Krishnan

Paper Summary - Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees

Summarizing and providing my notes on the paper - Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees by Liu et. al. (2018)

February 3, 2021 · 10 min · 2062 words · Abhijeet Krishnan

Paper Summary - Explainable Reinforcement Learning Through a Causal Lens

Summarizing and providing my notes on the paper - Explainable Reinforcement Learning Through a Causal Lens by Madumal et. al. (2020)

January 21, 2021 · 12 min · 2488 words · Abhijeet Krishnan

Paper Summary - An Evaluation of the Human-Interpretability of Explanation

Summarizing and providing my notes on the paper - An Evaluation of the Human-Interpretability of Explanation by Lage et. al. (2019)

January 20, 2021 · 6 min · 1231 words · Abhijeet Krishnan

My Internship at Knexus Research

A retrospective of my time interning with Knexus Research, the problem I solved, and what I learned

December 17, 2020 · 9 min · 1765 words · Abhijeet Krishnan