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Reinforcement Learning

Reinforcement Learning Foundations

Move from policy gradients and search to practical robot learning with demonstrations and human feedback.

Foundational7 visual deep dives
1

Policy Gradient Methods

policy gradient methods

45 min read›2

Mastering the Game of Go with Deep Neural Networks and Tree Search

AlphaGo paper combining deep neural networks with tree search for superhuman Go play

45 min read›3

World Models: Learning to Dream for Efficient Reinforcement Learning

World Models

84 min read›4

Reinforcement Learning for Large Language Models: Group Relative Policy Optimization (GRPO)

GRPO and RL for LLM's

45 min read›5

Imitation Bootstrapped Reinforcement Learning (IBRL)

A visual FeynmanWiki deep dive.

45 min read›6

HIL-SERL: Human-in-the-Loop Sample-Efficient Robotic Reinforcement Learning for Dexterous Manipulation

A visual FeynmanWiki deep dive.

45 min read›7

From Imitation to Refinement – Residual RL for Precise Robotic Assembly

A visual FeynmanWiki deep dive.

45 min read›