🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

A collection of comprehensive notes on Deep Reinforcement Learning, customized for UC Berkeley's CS 285 (prev. CS 294-112)

Deep Reinforcement Learning Notes

Notes and comments about Deep Reinforcement Learning papers

这是我的深度强化学习的学习笔记与总结

Solved lab problems, slides and notes of the Deep Reinforcement Learning bootcamp 2017 held at UCBerkeley

This repository contains lecture notes, practical materials, and implementations for the course: "Reinforcement Learning: from Bandits to RLHF" The course is designed to provide a deep and systematic understanding of RL, combining: solid mathematical foundations intuitive explanations practical implementations modern research insights

Notes on Deep Reinforcement Learning for Natural Language Processing papers

This repository contains my notes about deep reinforcement learning course in NJU.

Note: "Deep Reinforcement Learning: An Overview"

This is a collection of interesting papers that I have read so far or want to read. Note that the list is not up-to-date. Topics: reinforcement learning, deep learning, mathematics, statistics, bandit algorithms, optimization.

notes on Deep Reinforcement Learning

Updated reading notes on machine learning Deep Learning Reinforcement Learning etc.

notes and summaries of papers in machine learning, deep learning and reinforcement learning

Notes on various topics in deep reinforcement learning

Notes, homeworks and projects from class CS285 - Deep Reinforcement Learning

A curated learning roadmap and course collection for mastering machine learning, deep learning, and reinforcement learning. This repository compiles high-quality courses alongside their projects, study notes, Jupyter notebooks, and experimental results.

Personal Deep Reinforcement Learning class notes

Notes of maths, concepts, and algorithms in deep learning(computer vision and reinforcement learning)

Notebooks for learning <Deep Reinforcement Learning in Action> by Alexander Zai, Brandon Brown

Notes for the Deep Mind Reinforcement Learning Lecture Series 2021

notes and coding examples for artificial intelligence research, machine learning, deep learning, reinforcement learning

Assignments and notes for cs231: Convolutional Neural Networks and cs294: Deep Reinforcement Learning

Implementations and notes from the Deep Reinforcement learning hands-on (Lapan, 2020) book.

No description available

https://simoninithomas.github.io/deep-rl-course/

Personal theoretical derivation notes about Machine Learning, Deep Learning & Reinforcement Learning

research, knowledge and skill. resources and notes of machine learning, reinforcement learning, deep learning, inverse reinforcement learning, imitation learning.

Python implementation of basic (deep) reinforcement learning algorithms with notes

Notes + Homeworks , Berkeley CS294-112 course in Deep Reinforcement Learning