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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|
- 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
- Analysis
- Probability and Statistics
- Optimization
- SVD
- Regression
- Gradient Descent
- Lagrange Multipliers
- Logic
- Practical Tips
- ML Fundamentals
- Classification
- Deep Learning
- Semi-Supervised Learning
- MLE and MAP
- EM
- Density Estimation
- Dimensionality Reduction
- 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