reinforcement-learning.md

title	Reinforcement Learning
aliases	Reinforcement Learning
cssclasses	moc

Reinforcement Learning

RL as a subfield: MDPs, value/policy iteration, Q-learning, policy gradients, deep RL, imitation, and game-playing agents.

45 documents.

Start here

1. MIT 6.S191 (2018): Deep Reinforcement Learning · 🎓 lecture · intro
2. MIT 6.S191 (2019): Deep Reinforcement Learning · 🎓 lecture · intro
3. Proximal Policy Optimization Algorithms · 📄 paper · advanced
4. π₀: A Vision-Language-Action Flow Model for General Robot Control · 📄 paper · frontier
5. A Comprehensive Survey of Direct Preference Optimization: Datasets, Theories, Variants, and Applications · 📄 paper · advanced
6. Gemini Robotics: Bringing AI into the Physical World · 📄 paper · frontier

All documents

TABLE WITHOUT ID
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  default(source, "") AS Type,
  default(published, "") AS Date
FROM #topic/reinforcement-learning and -"atlas"
SORT level ASC, published ASC

(The list above renders in Obsidian with the Dataview plugin. On GitHub, browse Start here or the full index.)

Related topics

Alignment, RLHF & Preference Tuning

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