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|How to do Research|_____|Quotes|____|References|____|Fun Stuff|

|Run-time Stats|_____|Book Notes|_____|TIL|____|Things to Learn|_____|12 Problems|

|Emacs|____|Vim|_____|Franka|_____|Mujoco|_____|Klampt|____|Tools|____|Commands|

Research

• Papers
• Research Philosophy
• Presentations
• Networking
• Search
• Learning vs Prior
• Multi-Representation Search
• Multi-planner Search
• POMDP
• Multi-Armed Bandits
• DP and RL
• Mechanics of Manipulation
• Inverse Reinforcement Learning
• Visualization
• Latex
• Parallel Processing

Maths

• Analysis
• Probability and Statistics
• Optimization
• SVD
• Regression
• Gradient Descent
• Lagrange Multipliers
• Logic

Machine Learning

• Practical Tips
• ML Fundamentals
• Classification
• Deep Learning
• Semi-Supervised Learning
• MLE and MAP
• EM
• Density Estimation
• Dimensionality Reduction

Robotics

• Planning
• Trajectory Optimization
• SLAM
• ROS
• Arduino and Sensors

Computer Science

• Algorithms
• Information Theory
• OS
• Parallel Processing
• Programming Languages
• Satisfiability Problems
• Design Patterns
• CPP
• CPP-STL
• Python
• Julia
• Coding Style
• Scipy Stack
• Linux
• bash
• CMake
• tmux

Misc

• Philosophy