Showing 1-12 of 12 projects
FinRL is a financial reinforcement learning library that helps developers build AI-driven trading agents.
This is a repository for the Udacity Deep Reinforcement Learning Nanodegree program, focusing on deep reinforcement learning algorithms and techniques.
A Python library that provides reinforcement learning algorithms and environments for various card games
An OpenAI Gym-based trading environment for developing and testing AI-driven trading algorithms.
This TensorFlow code implements a curiosity-driven exploration algorithm for deep reinforcement learning.
A PyTorch implementation of the Proximal Policy Optimization (PPO) algorithm for training an AI agent to play Super Mario Bros.
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
A collection of pre-trained reinforcement learning agents with training and hyperparameter optimization tools.
A curated collection of resources for the NVIDIA Isaac Gym framework, a reinforcement learning and robotics platform.
An open-source framework for building simulated quadruped robots in the OpenAI Gym environment using Python.
Scalable, event-driven, deep-learning-friendly backtesting library for algorithmic trading strategies
This repository provides a comprehensive guide and implementation for reinforcement learning algorithms in Python.
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