A pytorch tutorial for DRL(Deep Reinforcement Learning)
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Updated
Apr 24, 2023 - Jupyter Notebook
A pytorch tutorial for DRL(Deep Reinforcement Learning)
Random Network Distillation pytorch
My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.
Random network distillation on Montezuma's Revenge and Super Mario Bros.
Deep Reinforcement Learning Algorithms Implementation in PyTorch
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
Official implementation for "Anti-Exploration by Random Network Distillation", ICML 2023
Combining Experience Replay with Exploration by Random Network Distillation
Exploration methods in Deep Reinforcement Learning.
Source code for Master's Thesis: Curiosity-driven Planning with Reinforcement Learning.
Algorithm RND-PPO is implemented in super mario bros.
Using Proximal Policy Optimization and Random Network Distillation on Pommerman
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