Source code for Master's Thesis: Curiosity-driven Planning with Reinforcement Learning.
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Updated
Jun 23, 2023 - Jupyter Notebook
Source code for Master's Thesis: Curiosity-driven Planning with Reinforcement Learning.
A pytorch tutorial for DRL(Deep Reinforcement Learning)
My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.
Official implementation for "Anti-Exploration by Random Network Distillation", ICML 2023
Deep Reinforcement Learning Algorithms Implementation in PyTorch
Random network distillation on Montezuma's Revenge and Super Mario Bros.
Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation
Exploration methods in Deep Reinforcement Learning.
Combining Experience Replay with Exploration by Random Network Distillation
Algorithm RND-PPO is implemented in super mario bros.
Random Network Distillation pytorch
Using Proximal Policy Optimization and Random Network Distillation on Pommerman
Random Network Distillation(RND) algo in Pytorch
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