Reda ALAMI's repositories
BayesianOnlineChange-pointDetection-python-codes-
Implementation of the Bayesian Online Change-point Detector of Ryan Prescott Adams and David McKay.
bayesian-online-changepoint-detection-for-multivariate-point-processes
Implementation of Log Gaussian Cox Process in Python for Changepoint Detection using GPFlow
Air-Quality-Prediction
Air Quality Prediction using Machine Learning
AirSim-PyTorch-Drone-DDQN-Agent
This code is the result of the collaboration of RL Turkey team.
awesome-rl
Reinforcement learning resources curated
Deep-Reinforcement-Learning-Algorithm-Collection
Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.
DeepBeerInventory-RL
The code for the SRDQN algorithm to train an agent for the beer game problem
drl_grasping
Deep Reinforcement Learning for Robotic Grasping from Octrees
Drone-Navigation-Domain-Adaption-Deep-RL
Domain Adaptation in Unmanned Aerial Vehicles Navigation and Obstacle Avoidance using Deep Reinforcement Learning
ElegantRL
Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch. 🔥
FinRL
A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020. 🔥
floris
A controls-oriented engineering wake model. Documentation at
LeetCode-Solutions
:octocat: (Weekly Update) Python / Modern C++ Solutions of All 1917 LeetCode Problems
Machine-Learning-Collection
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
MAGIC
Public implementation of "Multi-Agent Graph-Attention Communication and Teaming" from AAMAS'21
multi-armed-bandits-for-recommendation-systems
implement basic and contextual MAB algorithms for recommendation system
neural_prophet
NeuralProphet - a Neural Network based Time-Series model
non_conventional_value_function_approximation
Comparative Evaluation of Non-Conventional Value Function Approximation Methods in Reinforcement Learning
or-gym
Environments for OR and RL Research
PPO-based-Autonomous-Navigation-for-Quadcopters
Deep Reinforcement Learning based autonomous navigation for quadcopters using PPO algorithm.
Practical_RL
A course in reinforcement learning in the wild
rainbow-is-all-you-need
Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
reco-bandit
Building recommender Systems using contextual bandit methods to address cold-start issue and online real-time learning
rlberry
An easy-to-use reinforcement learning library for research and education.
rlstructures
RLStructures is a library to facilitate the implementation of new reinforcement learning algorithms. It includes a library, a tutorial, and different RL algorithms provided as examples.
SG-D3QN
Robot Navigation in a Crowd by Integrating Deep Reinforcement Learning and Online Planning
tensor-house
A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain
tum_masters_thesis
Master's thesis in Computer Science at Technical University of Munich. Written in latex.
Vehicles-Dispatch-Simulator
Context-Aware Taxi Dispatching at City-Scale Using Deep Reinforcement Learning