flock_env VS gym-continuousDoubleAuction

Compare flock_env vs gym-continuousDoubleAuction and see what are their differences.

flock_env

Boid flock multi-agent RL training environment implemented in JAX (by zombie-einstein)
rl-agents multi-agent-environment flock flock-environment multiple-homogenous-agents agen multi-agent-reinforcement-learning reinforcement-learning rl-environment
Source Code
zombie-einstein.github.io
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gym-continuousDoubleAuction

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training. (by ChuaCheowHuan)
multi-agent-reinforcement-learning gym-environment limit-order-book high-frequency-trading Ray rllib market-microstructure financial-engineering self-play double-auction Ppo zero-sum-games zero-sum quantitative-finance quantitative-trading marl n-player Lstm
Source Code
chuacheowhuan.github.io
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flock_env gym-continuousDoubleAuction
1 5
11 136
- -
5.4 0.0
13 days ago over 1 year ago
Jupyter Notebook Jupyter Notebook
- MIT License
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flock_env

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

gym-continuousDoubleAuction

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

What are some alternatives?

When comparing flock_env and gym-continuousDoubleAuction you can also consider the following projects:

recurrent-ppo-truncated-bptt - Baseline implementation of recurrent PPO using truncated BPTT

alpha-zero-general - A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

QuantitaveFinanceExamplesPy - Financial analysis, algorithmic trading, portfolio optimization examples with Python (DISCLAIMER - No Investment Advice Provided, YASAL UYARI - Yatırım tavsiyesi değildir).

Finding-Alpha-with-AI - A 3 part series of Jupyter notebooks to help one find alpha in the stock market with AI

FinanceExamplesPy - Financial analysis, algorithmic trading, portfolio optimization examples with Python (DISCLAIMER - No Investment Advice Provided, YASAL UYARI - Yatırım tavsiyesi değildir). [Moved to: https://github.com/mrtkp9993/QuantitaveFinanceExamplesPy]

SGX-Full-OrderBook-Tick-Data-Trading-Strategy - Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

gym-continuousDoubleAuction vs recurrent-ppo-truncated-bptt gym-continuousDoubleAuction vs alpha-zero-general gym-continuousDoubleAuction vs QuantitaveFinanceExamplesPy gym-continuousDoubleAuction vs Finding-Alpha-with-AI gym-continuousDoubleAuction vs FinanceExamplesPy gym-continuousDoubleAuction vs SGX-Full-OrderBook-Tick-Data-Trading-Strategy