Popular GitHub Repositories for Rnd

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).

Random Network Distillation pytorch

A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartPole, LunarLander, and MountainCar.

Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation

The implement of the policy gradient RL algorithm with pytorch

Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL

General-Purpose Reinforcement Learning

A collection of my implemented advanced & complex RL agents for games like Soccer, Street Fighter, Mortal Kombat, Rubik's Cube, Vizdoom, Montezuma, Kungfu-master, Super-Mario-bros, HalfCheetah and more by implementing advanced DRL concepts like decision transformers, RND, MARL, A3C, ICM & sample_factory. To see my other rl agents please visit

RnD Topic: Object Detection in Adverse Weather Conditions using Tightly-coupled Data-driven Multi-modal Sensor Fusion

A microbiome knowledge graph was constructed using data from the Human Microbiome Project, IBD cohort. This project was done as a part of my dissertation for my MSc in Health Data Science with The University of Manchester. It was done as an internship with Zifo RnD Solutions, a leading Scientific Informatics Company.

Experimental project... simplest "Deepseek-like" UWP app created with (in) Trae Ai service for my old sweet Windows Family devices! ;)

Multiworker PPO with random network distillation in eager execution Tensorflow