khanhnamle1994 / deep-reinforcement-learningLinks
Programming Assignments and Lectures for UC Berkeley's CS 294: Deep Reinforcement Learning
☆56Updated 7 years ago
Alternatives and similar repositories for deep-reinforcement-learning
Users that are interested in deep-reinforcement-learning are comparing it to the libraries listed below
Sorting:
- My solutions to the projects (and mini-projects) of the Deep Reinforcement Learning Nanodegree by Udacity☆63Updated 2 years ago
- This repository contains my implementation of the programming assignments of Probabilistic Graphical Models delivered by Stanford Univers…☆35Updated 7 years ago
- Resources, papers, tutorials☆125Updated 5 years ago
- My Solution to the Programming Assignments for Practical Reinforcement Learning from Coursera☆67Updated 5 years ago
- Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fra…☆139Updated 2 years ago
- My solutions to CS285 2019 Fall of UC Berkeley☆14Updated 2 years ago
- ☆53Updated 5 years ago
- Linear Algebra for Machine Learning Book Exercises☆13Updated 6 years ago
- My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow☆54Updated 3 years ago
- These will be public notes for courses that I'm self-studying.☆26Updated 5 years ago
- Code repository for my course on the fundamentals of reinforcement learning☆94Updated 6 years ago
- My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019☆169Updated 2 years ago
- Implementations for solutions to programming exercises of Reinforcement Learning: An Introduction, Second Edition (Sutton & Barto)☆33Updated 3 years ago
- My solution to assignments in UC Berkeley CS294-112: Deep Reinforcement Learning☆92Updated 6 years ago
- All the source codes and lectures of reinforcement learning.☆32Updated 5 years ago
- ♊ Stanford CS230 : Deep Learning☆16Updated 6 years ago
- Value iteration, policy iteration, and Q-Learning in a grid-world MDP.☆29Updated last year
- This is a self-contained repository to explain two basic Reinforcement (RL) algorithms.☆81Updated 10 months ago
- Project for my graduate neural networks course - combining RL with VAEs☆23Updated 5 years ago
- Project 3 of Udacity's Deep Reinforcement Learning nanodegree program.☆46Updated 6 years ago
- This repo is for a reinforcement learning project using citiBike data☆29Updated 6 years ago
- 🥚 Stanford CS221: Artificial Intelligence: Principles and Techniques☆82Updated 6 years ago
- TensorFlow implementation of Deep Reinforcement Learning papers☆28Updated 8 years ago
- RL CIRL Research☆13Updated 2 years ago
- Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874☆47Updated 4 years ago
- This is a practical resource that makes it easier to learn about and apply Practical Deep Reinforcement Learning (DRL) https://ibrahimsob…☆100Updated 5 years ago
- My solutions to UC Berkeley CS285 (originally CS294-112, deeprlcourse) Fall 2019 assignments☆116Updated 2 years ago
- Material for MLT Reinforcement Learning workshops and study sessions☆51Updated 5 years ago
- Reinforcement Learning Algorithms with Python, Published by Packt☆183Updated 2 years ago
- Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).☆89Updated 5 years ago