Gym-Trading-Env
dmc2gymnasium
| Gym-Trading-Env | dmc2gymnasium | |
|---|---|---|
| 2 | 1 | |
| 237 | 4 | |
| - | - | |
| 4.4 | 3.4 | |
| 22 days ago | 26 days ago | |
| Python | Python | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Gym-Trading-Env
-
Trading Environment for Reinforcement Learning - Documentation available
Documentation | GitHub repo
-
Gym Trading Environment for Reinforcement Learning in Finance
Here is the Github repo : https://github.com/ClementPerroud/Gym-Trading-Env
dmc2gymnasium
-
DM Control Suite vs. Original Environments
I'm actually working on a DMC to gymnasium wrapper right now that you might find useful https://github.com/imgeorgiev/dmc2gymnasium
What are some alternatives?
freqtrade-gym - A customized gym environment for developing and comparing reinforcement learning algorithms in crypto trading.
gym-simplegrid - Simple Gridworld Gymnasium Environment
gym-mtsim - A general-purpose, flexible, and easy-to-use simulator alongside an OpenAI Gym trading environment for MetaTrader 5 trading platform (Approved by OpenAI Gym)
football - Check out the new game server:
loopquest - A Production Tool for Embodied AI
pysc2 - StarCraft II Learning Environment
policy-adaptation-during-deployment - Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.
pyreason-gym - An OpenAI wrapper for PyReason to use in a Grid World reinforcement learning setting
envpool - C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
space-gym - Challenging reinforcement learning environments with locomotion tasks in space
holodeck - High Fidelity Simulator for Reinforcement Learning and Robotics Research.