Showing 21-40 of 59 projects
PyTorch implementation of popular reinforcement learning algorithms like A2C, PPO, ACKTR and GAIL for developers.
A minimalist and clean set of reinforcement learning examples in Python for developers to learn and experiment with.
Modularized implementation of deep reinforcement learning algorithms in PyTorch for researchers and developers.
A Python library that provides reinforcement learning algorithms and environments for various card games
Clean, robust, and unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms.
Minimal implementations of basic reinforcement learning algorithms in PyTorch for educational purposes.
Open-source neural network chess engine with GPU acceleration and broad hardware support.
An implementation of the MuZero reinforcement learning algorithm for general-purpose use cases.
A framework for training Stable Baselines3 reinforcement learning agents with hyperparameter optimization.
A tutorial course on decision intelligence and deep reinforcement learning using Python.
A collection of summaries for machine learning research papers, useful for developers interested in AI and deep learning.
A curated list of resources for machine learning-based algorithmic trading and quantitative finance.
A Python library for deep reinforcement learning in finance, with dynamic datasets and market environments.
A deep reinforcement learning competition for self-driving car simulations, part of the MIT Deep Learning series.
An artificial intelligence-powered implementation of the classic Snake game.
A curated collection of top 200 deep learning GitHub repositories sorted by stars for AI developers.
This repository contains implementations of various multi-agent reinforcement learning algorithms for the StarCraft II micromanagement scenario.
An open-source deep reinforcement learning library that combines several state-of-the-art improvements.
An offline deep reinforcement learning library for Python developers working on AI-powered applications.
A TensorFlow implementation of Deep Reinforcement Learning algorithms and papers.
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