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README.md

Inspired by Adrian Colyer and Denny Britz.

This contains my notes for research papers that I've read. Papers are arranged according to three broad categories and then further numbered on a (1) to (5) scale where a (1) means I have only barely skimmed it, while a (5) means I feel confident that I understand almost everything about the paper. Within a single year, these papers should be organized according to publication date. The links here go to my paper summaries if I have them, otherwise those papers are on my TODO list.

Contents:

Reinforcement Learning and Imitation Learning

2019 RL/IL Papers

2018 RL/IL Papers

Late-year

Mid-year

Early-year

2017 RL/IL Papers

Late-year

Mid-year

Early-year

2016 RL/IL Papers

2015 RL/IL Papers

2014 and Earlier RL/IL Papers

Deep Learning

2019 DL Papers

2018 DL Papers

2017 DL Papers

2016 DL Papers

2015 DL Papers

2014 and Earlier DL Papers

Miscellaneous

(Mostly about MCMC, Machine Learning, and/or Robotics.)

2019 Misc Papers

2018 Misc Papers

2017 Misc Papers

2016 Misc Papers

2015 Misc Papers

2014 Misc Papers

2013 and Earlier Misc Papers

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