RL-Algorithms
Youtube-Code-Repository
| RL-Algorithms | Youtube-Code-Repository | |
|---|---|---|
| 1 | 5 | |
| 6 | 842 | |
| - | - | |
| 2.6 | 1.6 | |
| over 3 years ago | 10 months ago | |
| Jupyter Notebook | Python | |
| MIT License | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
RL-Algorithms
-
Minimalistic implementation of RL algorithms for easy understanding
check it out:https://github.com/addy1997/RL-Algorithms
Youtube-Code-Repository
-
Overall loss in PPO, why does it matter?
In Phil tabor's implementation it calculates Actor and Critic loss separately (line 95+) and does not calculate equation 9.
-
Intrinsic Curiosity Module Pytorch multithreading cpu unable to fix seeds
I am working on an extension of this implementation https://github.com/philtabor/Youtube-Code-Repository/tree/master/ReinforcementLearning/ICM of the intrinsic curiosity module. It uses A3C(Actor -critic) as a policy and the ICM is a bolt on module.
-
PPO cannot play CartPole ?
A very good performance reference code, which convers in 200 episodes.
-
Rl algorithm implemented
Github code - https://github.com/philtabor/Youtube-Code-Repository/tree/master/ReinforcementLearning/PolicyGradient/DDPG/tensorflow2/pendulum
-
Lunar Lander using Deep Q-Learning
I was wondering why the code looked so familiar, not just the design, but even the syntax and names of functions. I went through these myself when I was learning: Youtube-Code-Repository/ReinforcementLearning/DeepQLearning at master · philtabor/Youtube-Code-Repository (github.com). Its by a YouTuber / Udemy course instructor that goes through the design and coding process from scratch. This is probably mostly lifted straight from that repo. He even has a video on doing the lunar lander example too.
What are some alternatives?
fifa-stats-crawler - A web-crawler to scrape FIFA 20 and 21 players' latest information from Sofifa Website
Respiratory-Disease-Coughing-Dataset-CNN - A collection of coughing audio files from Coswara, Coughvid, and Virufy as well as generated spectrograms for the use of machine learning
awesome-python-projects - 📱 ✅ Some awesome projects in python! 📱 ✅
easytorch - EasyTorch is a research-oriented pytorch prototyping framework with a straightforward learning curve. It is highly robust and contains almost everything needed to perform any state-of-the-art experiments.
trading-bot - Stock Trading Bot using Deep Q-Learning
ppo-implementation-details - The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization
droneRL-workshop - Reinforcement Learning workshop
Quantsbin - Quantitative Finance tools
minimalRL - Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
lunar-lander