Quantsbin
Youtube-Code-Repository
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| Quantsbin | Youtube-Code-Repository | |
|---|---|---|
| 27 | 5 | |
| 453 | 838 | |
| - | - | |
| 0.0 | 1.6 | |
| 10 months ago | 9 months ago | |
| Python | Python | |
| MIT License | - |
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Quantsbin
Youtube-Code-Repository
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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.
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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.
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PPO cannot play CartPole ?
A very good performance reference code, which convers in 200 episodes.
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Rl algorithm implemented
Github code - https://github.com/philtabor/Youtube-Code-Repository/tree/master/ReinforcementLearning/PolicyGradient/DDPG/tensorflow2/pendulum
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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 ยท 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?
Python-NSE-Option-Chain-Analyzer - The NSE has a website which displays the option chain in near real-time. This program retrieves this data from the NSE site and then generates useful analysis of the Option Chain for the specified Index or Stock. It also continuously refreshes the Option Chain and visually displays the trend in various indicators useful for Technical Analysis.
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
Financial-Models-Numerical-Methods - Collection of notebooks about quantitative finance, with interactive python code.
RL-Algorithms - This repository has RL algorithms implemented using python
Monopoly_Simulation - Simulating games of Monopoly.
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.
option-pricer - Option pricing using Black-Scholes model, Bachelier model, Binomial Trees and Monte Carlo simulation under different stochastic processes
ppo-implementation-details - The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization
OpenBBTerminal - Investment Research for Everyone, Everywhere.
minimalRL - Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
lunar-lander