Popular GitHub Repositories for Rnd

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.

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

Multiworker PPO with random network distillation in eager execution Tensorflow