Showing 1-20 of 27 projects
Deep learning paper implementations with side-by-side notes and explanations
A comprehensive Chinese tutorial on reinforcement learning, with implementations of popular RL algorithms.
An elegant PyTorch deep reinforcement learning library for vibe coders building AI-powered applications.
Simple reinforcement learning tutorials in Python using TensorFlow for AI/ML developers.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features.
An open-source, scalable, and high-performance RL framework for building AI-powered applications and tools.
This is a repository for the Udacity Deep Reinforcement Learning Nanodegree program, focusing on deep reinforcement learning algorithms and techniques.
A comprehensive resource for learning deep reinforcement learning with Python and Jupyter Notebook.
Massively parallel deep reinforcement learning library for efficient, stable, and lightweight RL models.
A collection of implementations from a free course on deep reinforcement learning using TensorFlow and PyTorch.
PyTorch implementation of popular reinforcement learning algorithms like A2C, PPO, ACKTR and GAIL for developers.
Modularized implementation of deep reinforcement learning algorithms in PyTorch for researchers and developers.
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.
A tutorial course on decision intelligence and deep reinforcement learning using Python.
This is the official implementation of Multi-Agent PPO (MAPPO), a reinforcement learning algorithm for multi-agent environments.
Concise PyTorch implementations of popular deep reinforcement learning algorithms like REINFORCE, A2C, DQN, PPO, DDPG, TD3, and SAC.
A Python library for exploring secrets of RLHF (Reward-Weighted Maximum Likelihood Estimation) in large language models
Modular deep reinforcement learning framework in PyTorch for building AI-powered applications.
PyTorch implementation of state-of-the-art reinforcement learning algorithms for vibe coders.
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