rl-trading
alpha-zero-general
| rl-trading | alpha-zero-general | |
|---|---|---|
| 1 | 4 | |
| 4 | 3,667 | |
| - | - | |
| 0.0 | 3.1 | |
| over 3 years ago | 2 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | MIT License |
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rl-trading
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Recruiters representing Citadel has been aggressively attempting to recruit me as a software developer since mid November, offering to pay $100-150k more than the median for early/mid career developers
In the summer, I did something somewhat similar to what OP suggests above. Here's a link to the corresponding Github repository.
alpha-zero-general
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Competitive reinforcement learning for turn-based games
This is a good intro to alphazero and montecarlo treesearch , Followed by This repo.
- Looking for deeper understanding of AlphaZero algorithm
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Any interest in a strong Santorini (no powers) AI?
I'm not planning on sharing code at the moment as I'm still working on improving it. The main part of the code is simply from https://github.com/suragnair/alpha-zero-general plus my implementation of game logic (about 100 lines). So for you to use the AI you really need the weights for the neural network. I plan on releasing a better version than the current version in say two months or so.
What are some alternatives?
Lean - Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
muzero-general - MuZero
alphalens - Performance analysis of predictive (alpha) stock factors
minigo - An open-source implementation of the AlphaGoZero algorithm
nn - 🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
tensorflow-onnx - Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
Practical_RL - A course in reinforcement learning in the wild
a3c_trading - Trading with recurrent actor-critic reinforcement learning
Deep-Learning-Computer-Vision - My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.
reversatile - Reversatile: Reversi for Android
Popular-RL-Algorithms - PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..