Alternatives and similar repositories for rl_notes:

Users that are interested in rl_notes are comparing it to the libraries listed below

• buomsoo-kim / Tabular-RL-with-Python
  Tabular Reinforcement Learning Algorithms with NumPy & Visualizations with Seaborn
  ☆19Updated 7 years ago
• florist-notes / CS234_RL
  🐲 Stanford CS234 : Reinforcement Learning
  ☆24Updated 5 years ago
• erfanMhi / base_reinforcement_learning
  This is the code-base that I personally use as the starting point for any reinforcement learning codebase with the purpose of fast experi…
  ☆12Updated 2 years ago
• erfanMhi / Deep-Reinforcement-Learning-CS285-Pytorch
  Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fra…
  ☆138Updated 2 years ago
• VinF / practical_sessions_RL
  ☆28Updated 2 years ago
• 2wavetech / Probabilistic-Graphical-Model
  This repository contains my implementation of the programming assignments of Probabilistic Graphical Models delivered by Stanford Univers…
  ☆34Updated 7 years ago
• RonyAbecidan / Neural-Thompson-Sampling
  Study of the paper 'Neural Thompson Sampling' published in October 2020
  ☆21Updated 2 years ago
• RL-VS / rlvs2021
  ☆18Updated 3 years ago
• PacktPublishing / Distributed-Machine-Learning-with-Python
  Distributed Machine Learning with Python, published by Packt
  ☆40Updated last year
• PacktPublishing / Deep-Reinforcement-Learning-with-Python
  Deep Reinforcement Learning with Python, Second Edition, published by Packt
  ☆190Updated 2 years ago
• PacktPublishing / Mastering-Reinforcement-Learning-with-Python
  Mastering Reinforcement Learning with Python, published by Packt
  ☆157Updated 2 years ago
• marl-book / slides
  Lecture slides for the MARL book (www.marl-book.com)
  ☆93Updated last month
• d9w / deep-learning-intro
  Introduction to Deep Learning
  ☆11Updated 4 years ago
• leehanchung / cs224w
  Stanford CS224W: Machine Learning with Graphs
  ☆19Updated 3 years ago
• FarnazAdib / Crash_course_on_RL
  This is a self-contained repository to explain two basic Reinforcement (RL) algorithms.
  ☆81Updated 7 months ago
• paulhendricks / gym-inventory
  An OpenAI Gym environment for Inventory Control problems
  ☆55Updated 5 years ago
• hzm2016 / sources-of-reinforcement-learning
  All the source codes and lectures of reinforcement learning.
  ☆30Updated 4 years ago
• snowdj / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆85Updated 6 years ago
• antoine-hochart / bandit_algo_evaluation
  Offline evaluation of multi-armed bandit algorithms
  ☆23Updated 4 years ago
• causal-rl-anonymous / causal-rl
  ☆43Updated 3 years ago
• sh2439 / RL-Coursera
  Implementations of Coursera Reinforcement Learning Specialization
  ☆42Updated 5 years ago
• PacktPublishing / PyTorch-1.x-Reinforcement-Learning-Cookbook
  PyTorch 1.x Reinforcement Learning Cookbook, published by Packt
  ☆98Updated 2 years ago
• davidsandberg / rl_ssms
  State Space Models for Reinforcement Learning in Tensorflow
  ☆19Updated 6 years ago
• sshkhr / Practical_RL
  My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow
  ☆53Updated 3 years ago
• shiernee / Advanced_ML
  ☆78Updated 2 years ago
• sjtuhuoda / LearningforAuctionPapers
  ☆17Updated 3 years ago
• nanavatirutu / CausalBandits
  Project on Causal Machine learning CS 7290
  ☆16Updated 5 years ago
• zyxue / youtube_RL_course_by_David_Silver
  Collection of Slides for David Silver's Reinforcement Learning Course on Youtube
  ☆28Updated 7 years ago
• matteocasolari / reinforcement-learning-an-introduction-solutions
  Implementations for solutions to programming exercises of Reinforcement Learning: An Introduction, Second Edition (Sutton & Barto)
  ☆31Updated 2 years ago
• kamenbliznashki / sutton_barto
  Python implementations of the RL algorithms in examples and figures in Sutton & Barto, Reinforcement Learning: An Introduction
  ☆89Updated 6 years ago