Alternatives and similar repositories for Stanford-CS234-RL

Users that are interested in Stanford-CS234-RL are comparing it to the libraries listed below

• LFhase / Learning_CS224w
  My approach to CS224w [AT] Stanford 2019 : )
  ☆124Updated 4 years ago
• Trinkle23897 / CS294-112
  CS 294-112 @ UCB Deep RL
  ☆23Updated 2 years ago
• LecJackS / CS-330-Deep-Multi-Task-and-Meta-Learning
  https://cs330.stanford.edu/
  ☆62Updated 2 years ago
• CORE-Robotics-Lab / Interpretable_DDTS_AISTATS2020
  Public code for implementation and experiments with differentiable decision trees.
  ☆28Updated 9 months ago
• KuNyaa / berkeleydeeprlcourse-homework-pytorch-solution
  Solutions for CS294-112 Fall2018 assignments in Pytorch
  ☆20Updated 6 years ago
• bentrevett / pytorch-rl
  Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]
  ☆282Updated 4 years ago
• ianxxiao / reinforcement_learning_project
  This repo is for a reinforcement learning project using citiBike data
  ☆29Updated 6 years ago
• dglai / KDD20-Hands-on-Tutorial
  Scalable Graph Neural Networks with Deep Graph Library
  ☆151Updated 4 years ago
• flecue / xai-aaai2022
  ☆31Updated 3 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
• DeepGraphLearning / SPN
  ☆29Updated 3 years ago
• StephLong614 / Causal-disco-LLM-imperfect-experts
  ☆17Updated last year
• b13302 / Practical_RL-coursera
  My Solution to the Programming Assignments for Practical Reinforcement Learning from Coursera
  ☆67Updated 5 years ago
• AstraZeneca / awesome-shapley-value
  Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
  ☆152Updated 2 years ago
• sshkhr / Practical_RL
  My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow
  ☆54Updated 3 years ago
• LASP-UCL / Graph-RL
  Graph-based Reinforcement Learning
  ☆16Updated 7 years ago
• buomsoo-kim / Tabular-RL-with-Python
  Tabular Reinforcement Learning Algorithms with NumPy & Visualizations with Seaborn
  ☆19Updated 7 years ago
• THUMNLab / NAS-Bench-Graph
  ☆24Updated 2 years ago
• pranav-s / Stanford_CS234_RL_2021
  Solutions to coding assignments of Stanford Reinforcement Learning course Winter 2021
  ☆13Updated 3 years ago
• mwcvitkovic / Supervised-Learning-on-Relational-Databases-with-GNNs
  Code to reproduce the results in the paper Supervised Learning on Relational Databases with Graph Neural Networks.
  ☆63Updated 5 years ago
• zhixuan-lin / cs285-fall-2019
  My solutions to CS285 2019 Fall of UC Berkeley
  ☆14Updated 2 years ago
• sujitpal / pytorch-gnn-tutorial-odsc2021
  Repository for GNN tutorial using Pytorch and Pytorch Geometric (PyG) for ODSC 2021
  ☆44Updated 3 years ago
• kushagra06 / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆122Updated 6 years ago
• matteocasolari / reinforcement-learning-an-introduction-solutions
  Implementations for solutions to programming exercises of Reinforcement Learning: An Introduction, Second Edition (Sutton & Barto)
  ☆33Updated 3 years ago
• Luvata / CS330-Stanford-Deep-Multi-Task-and-Meta-Learning
  My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning
  ☆41Updated 2 years ago
• cogito233 / llm-bivariate-causal-discovery
  ☆13Updated 2 years ago
• vagmcs / PRML
  PRML notes, proofs and algorithms implemented in Python
  ☆37Updated 10 months ago
• Guillem96 / pointer-nn-pytorch
  Pointer NN differs from the previous attention attempts in that, instead of using attention to weight hidden units of an encoder, it uses…
  ☆42Updated 4 years ago
• UCI-NLP-course-team / graphcnn-few-shot-text-classification
  Inductive graph convolutional neural networks for few-shot learning text classification.
  ☆15Updated 4 years ago
• chrisvdweth / ml-toolkit
  ☆64Updated 5 years ago