machine-learning-algorithms

Introduction

A summary of interesting machine learning models and reinforcement learning algorithms with my implementations. Here are some of my notes and docs related: notion and hand written notes (Not published yet)

Requirements

Try to follow this installation guide and installation notes(not published yet)

• python
• miniforge/anaconda
• tensorflow
• torch
• gym
• mujoco
• mujoco-py
• numpy

TBD

Algorithms

• LSTM (on an env e.g. Adventure Atari game)
• rainbow dqn
• more implementation of Evolutionary Algorihms (EA) i.e. Genetic Algorithm and Evolution Strategy
• distributed learning in RL (parallel or asynchronous)

Trainning the model

• a better CNN， maxpooling ...
• frameskipp
• some reward engineering
• NAS: Network Architecture Search

Others

• save & load & plotting
• enable GPU mode
• enable CPU/GPU utilization monitoring

Reference

Tutorials

• OpenAI Spinning Up
• Youtube Shusen Wang or Youtube 王树森
• Morvan Python
• Hugging face
• floodsung/Deep-Learning-Papers-Reading-Roadmap
• Comparison of variants of AC and AC,A3C,DDPG
• 入门Pytorch and Pytorch Quickstart

Code

• MorvanZhou/Reinforcement-learning-with-tensorflow
• nidao_my/Deep-reinforcement-learning-with-pytorch

Experiments

• Gymnasium

Papers

• Playing Atari with Deep Reinforcement Learning
• ......