Daniel Liu's Projects
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
This will be a bot that uses python magic to make an auto bot to book badminton sites
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
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
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
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
A dynamically generated activity graph to show your GitHub activities of last 31 days.
This repo contains the code I wrote for google_foobar when I got a direct invitation from it on August 18th 2022
NOTES FOR ECE345
website for jared leung
A demo of the mapper project created in ECE297 and some personal lessons and reflections
MLWorkshop work
Samples for Intelยฎ oneAPI Toolkits
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
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
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
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
Well, that's all about me :D