haneenhassen

BuildTheNetwork

ellm

FCRL

Implementation of "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning" (https://arxiv.org/pdf/1712.08266.pdf)

go-explore

Code for Go-Explore: a New Approach for Hard-Exploration Problems

GuessingGame

Hands-On-Reinforcement-Learning-with-Python

Hands-On Reinforcement Learning with Python, published by Packt

HeartFailurePrediction-

Classification Heart Failure dataset

machine-learning-mindmap

A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

Mirror-Descent-Policy-Optimization

Mirror Descent Policy Optimization

NANCY-FFE

Follow then Forage implementation done in order to increase exploration in the pensieve framework which is a reinforcement learning based adaptive bitrate algorithm

haneenhassen/BuildTheNetwork

haneenhassen/ellm

haneenhassen/FCRL

Implementation of "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning" (https://arxiv.org/pdf/1712.08266.pdf)

haneenhassen/go-explore

Code for Go-Explore: a New Approach for Hard-Exploration Problems

haneenhassen/GuessingGame

haneenhassen/Hands-On-Reinforcement-Learning-with-Python

Hands-On Reinforcement Learning with Python, published by Packt

haneenhassen/HeartFailurePrediction-

Classification Heart Failure dataset

haneenhassen/machine-learning-mindmap

A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

haneenhassen/Mirror-Descent-Policy-Optimization

Mirror Descent Policy Optimization

haneenhassen/NANCY-FFE

Follow then Forage implementation done in order to increase exploration in the pensieve framework which is a reinforcement learning based adaptive bitrate algorithm

haneenhassen/RLeXplore

RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven exploration (RIDE).

haneenhassen/TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

haneenhassen/TicTacToe