988 Open source projects that are alternatives of or similar to Trading Gym

AI research environment for the Atari 2600 games 🤖.

Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms

A collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.

An environment to high-frequency trading agents under reinforcement learning

MuZero

DrQ: Data regularized Q

Explore and find reinforcement learning environments in a list of 150+ open source environments.

gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

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A simple interface to instantiate Reinforcement Learning environments with SUMO for Traffic Signal Control. Compatible with Gym Env from OpenAI and MultiAgentEnv from RLlib.

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playing idealized trading games with deep reinforcement learning

OpenAI Gym wrapper for the DeepMind Control Suite

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Unreal environments for reinforcement learning

PyTorch Implementation of REINFORCE for both discrete & continuous control

A customized gym environment for developing and comparing reinforcement learning algorithms in crypto trading.

Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes

PyTorch implementation of Soft Actor-Critic (SAC)

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AI Research Platform for Reinforcement Learning from Real Panoramic Images.

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Structural implementation of RL key algorithms

A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL

📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

Hearthstone simulator using C++ with some reinforcement learning

Trading environnement for RL agents, backtesting and training.

Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)

⚡️ ⚡️ 𝘋𝘦𝘦𝘱 𝘙𝘓 𝘈𝘭𝘨𝘰𝘵𝘳𝘢𝘥𝘪𝘯𝘨 𝘸𝘪𝘵𝘩 𝘙𝘢𝘺 𝘈𝘗𝘐

"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow

Sokoban environment for OpenAI Gym

A collection of multi agent environments based on OpenAI gym.

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

Proto-RL: Reinforcement Learning with Prototypical Representations

Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.

Pytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features

Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

A curated list of Monte Carlo tree search papers with implementations.

ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation

Python library for Reinforcement Learning.

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

Trading with recurrent actor-critic reinforcement learning

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

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

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms

A universal flight control tuning framework

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

Applying Reinforcement Learning in Quantitative Trading

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Reinforcement Learning Algorithms

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning