Paper Summaries

These summaries present the information in research papers in a "tree-like" representation with clear logical flow from one point to the next, i.e. representations which are conducive to understanding and long-term memory storage and retrieval.

The summaries are organized based on research topics.

Predictive Uncertainty Estimate

Domain Randomization for sim-to-real transfer

Model Free Reinforcement Learning

Model Based Reinforcement Learning

Meta Reinforcement Learning

Meta Learning

Unsupervised Learning

Robotic Grasping

Goal Conditioned RL

Imitation Learning

Object Centric Representation and Intuitive Physics

ML Theory

Computer Vision