Showing 1-14 of 14 projects
FinRL is a financial reinforcement learning library that helps developers build AI-driven trading agents.
An elegant PyTorch deep reinforcement learning library for vibe coders building AI-powered applications.
Deep Reinforcement Learning library for developing AI agents and algorithms.
Massively parallel deep reinforcement learning library for efficient, stable, and lightweight RL models.
Comprehensive reinforcement learning framework for building AI agents and distributed systems
The next generation deep reinforcement learning toolkit for AI researchers and developers.
Clean, robust, and unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms.
A platform for exploring and experimenting with deep reinforcement learning techniques and applications.
A tutorial course on decision intelligence and deep reinforcement learning using Python.
A Python library for deep reinforcement learning in finance, with dynamic datasets and market environments.
Concise PyTorch implementations of popular deep reinforcement learning algorithms like REINFORCE, A2C, DQN, PPO, DDPG, TD3, and SAC.
A deep reinforcement learning project for mobile robot navigation in a Gazebo simulator using the ROS framework.
A Pascal-based roguelike game for developers interested in exploring classic game development.
A Python library for efficient online 3D bin packing using deep reinforcement learning and packing configuration trees.
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