deep-RL-trading VS Agar.io_Q-Learning_AI

Compare deep-RL-trading vs Agar.io_Q-Learning_AI and see what are their differences.

Agar.io_Q-Learning_AI

An experiment on the performance of homemade Q-learning AIs in Agar.io depending on their state representation and available actions (by Dolphus2)
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deep-RL-trading Agar.io_Q-Learning_AI
14 1
342 2
- -
0.0 4.4
almost 3 years ago over 2 years ago
Python Python
MIT License -
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deep-RL-trading

Posts with mentions or reviews of deep-RL-trading. We have used some of these posts to build our list of alternatives and similar projects.

Agar.io_Q-Learning_AI

Posts with mentions or reviews of Agar.io_Q-Learning_AI. We have used some of these posts to build our list of alternatives and similar projects.
  • Agar.io q-learning artificial intelligence.
    1 project | /r/Agario | 22 Jan 2022
    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.

What are some alternatives?

When comparing deep-RL-trading and Agar.io_Q-Learning_AI you can also consider the following projects:

muzero-general - MuZero

gym-anytrading - The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

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.

tibia-screenshot-organizer - Script to organize the tibia's screenshot folder.

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.

GnomansLand - An open-world reinforcement learning playground for gnomes filled with dangerous peril and bountiful treasure.

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.

Sinister - Sinister is Windows/Linux Keylogger Generator which sends key-logs via email with other juicy target info

minimalRL - Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

neuro-symbolic-sudoku-solver - ⚙️ Solving sudoku using Deep Reinforcement learning in combination with powerful symbolic representations.

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