Random Network Distillation pytorch

A pytorch tutorial for DRL(Deep Reinforcement Learning)

Official implementation for "Anti-Exploration by Random Network Distillation", ICML 2023

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

Random Network Distillation(RND) algo in Pytorch

Random network distillation on Montezuma's Revenge and Super Mario Bros.

My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.

Deep Reinforcement Learning Algorithms Implementation in PyTorch

Using Proximal Policy Optimization and Random Network Distillation on Pommerman

Combining Experience Replay with Exploration by Random Network Distillation

Exploration methods in Deep Reinforcement Learning.

Algorithm RND-PPO is implemented in super mario bros.

Source code for Master's Thesis: Curiosity-driven Planning with Reinforcement Learning.