Agar.io_Q-Learning_AI
deep-RL-trading
| Agar.io_Q-Learning_AI | deep-RL-trading | |
|---|---|---|
| 1 | 14 | |
| 2 | 342 | |
| - | - | |
| 4.4 | 0.0 | |
| over 2 years ago | almost 3 years ago | |
| Python | Python | |
| - | MIT License |
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Agar.io_Q-Learning_AI
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Agar.io q-learning artificial intelligence.
Thanks for the comments! The assigment report is handed in now, and I probably wont work it any more. Here is a link to the GitHub page: https://github.com/Dolphus2/Agar.io_Q-Learning_AI. It fared fairly well on average, considering it couldn't split. Feel free to ask any questions about the code, if any of you want to edit it and improve the agent.
deep-RL-trading
- deep-RL-trading: trading game comparing RNN vs CNN vs MLP based on [paper](https://arxiv.org/abs/1803.03916) Deep Learning And Reinforcement Learning - star count:301.0
- deep-RL-trading: trading game comparing RNN vs CNN vs MLP based on [paper](https://arxiv.org/abs/1803.03916) Deep Learning And Reinforcement Learning - star count:272.0
What are some alternatives?
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muzero-general - MuZero
tibia-screenshot-organizer - Script to organize the tibia's screenshot folder.
TradingView-Machine-Learning-GUI - Embark on a trading journey with this project's cutting-edge stop loss/take profit generator, fine-tuning your TradingView strategy to perfection. Harness the power of sklearn's machine learning algorithms to unlock unparalleled strategy optimization and unleash your trading potential.
GnomansLand - An open-world reinforcement learning playground for gnomes filled with dangerous peril and bountiful treasure.
softlearning - Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
Sinister - Sinister is Windows/Linux Keylogger Generator which sends key-logs via email with other juicy target info
Note - Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, CLIP, ViT, ConvNeXt, SwiftFormer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow.
neuro-symbolic-sudoku-solver - ⚙️ Solving sudoku using Deep Reinforcement learning in combination with powerful symbolic representations.
minimalRL - Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
DeepRL-TensorFlow2 - 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
deep-q-learning - Minimal Deep Q Learning (DQN & DDQN) implementations in Keras