Daniel Liu's repositories
capstone
This is the repo for which our fourth year capstone project will be created
bug_fixes_and_scripts
This Repository is a collection of the resources I used to fix my bugs in the summer of 2022 during my machine learning internship. It also includes some external scripts I wrote outside of the plato branch
badminton_bot
This will be a bot that uses python magic to make an auto bot to book badminton sites
oneAPI-samples
Samples for Intel® oneAPI Toolkits
MapperPublic
A demo of the mapper project created in ECE297 and some personal lessons and reflections
github-readme-activity-graph
A dynamically generated activity graph to show your GitHub activities of last 31 days.
hps345
NOTES FOR ECE345
jaredbarbershop
website for jared leung
rithiksarab
Well, that's all about me :D
google_foobar
This repo contains the code I wrote for google_foobar when I got a direct invitation from it on August 18th 2022
ML_Workshop
MLWorkshop work
a2c_and_a3c_method
This Repository is for my own self learning of the actor-critic method and its extension asynchronous advantage actor-critc. The material learned is from the book Deep-Reinforcement-Learning hands-on by Maxim Lapan
REINFORCEMethod
This Repository is dedicated to my own self learning from the book Deep Reinforcement Learning Hands-On by Maxim Lapan. This Repository explores the REINFORCE method for policy gradients on the cartpole environment
DQNExtensions
This is an extension of DeepQNetworks Repository implementing more recent research discoveries. Created solely for my own self learning from the book Deep Reinforcement Learning Hands-On by Maxim Lapan with comments of my own
DeepQNetworks
This Repository is for my own self learning of the reinforcement method that uses value iteration with more complex problems. In particular, it solves the pong game. Learned from the book Deep Reinforcement Learning Hands-On by Maxim Lapan with comments of my own
QMethod
This Repository is dedicated to my own self-learning of two reinforcement learning method called Q-learning and V-Learning from the book Deep Reinforcement Learning Hands-On by Maxim Lapan with comments of my own
CrossEntropyMethod
This Repository is dedicated to my own self learning of the reinforcement learning method Cross-Entropy Method from the book Deep Reinforcement Learning Hands-On by Maxim Lapan with comments of my own
OpenAI-Gym
This repository focuses on the idea of reinforcement learning using environments from the library Gym. Created solely for my own self-learning from book DeepDeep Reinforcement Learning Hands-On by Maxim Lapan with comments of my own
PyTorch_Basics
This Repository is for my own learning on the Python Library PyTorch from the book Deep Reinforcement Learning Hands-On by Maxim Lapan with comments of my own