Showing 161-180 of 201 projects
A PyTorch implementation of the Proximal Policy Optimization (PPO) algorithm for training an AI agent to play Super Mario Bros.
A deep reinforcement learning project for mobile robot navigation in a Gazebo simulator using the ROS framework.
AgentEvolver is a Python library for building self-evolving agent systems powered by large language models and reinforcement learning.
A collection of paper reading notes on deep learning and machine learning topics.
An evolutionary algorithm library in Python for developers interested in AI and machine learning.
A collection of notebooks for learning various meta-learning techniques like MAML, Reptile, and One-Shot Learning.
A simple and well-styled implementation of the PPO reinforcement learning algorithm, with a tutorial series
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Implement AlphaZero/AlphaGo Zero methods for Chinese chess using Python and deep learning.
ChainerRL is a deep reinforcement learning library built on top of Chainer, a popular deep learning framework.
A collection of pre-trained reinforcement learning agents with training and hyperparameter optimization tools.
This is a research project on reinforcement learning on Android devices, not a vibe-coder tool.
A computational framework for reinforcement learning in traffic control and autonomous vehicle management.
A C++ plugin that transforms Grand Theft Auto V into a self-driving car research environment
A stock trading bot using deep reinforcement learning to learn profitable trading strategies.
A curated collection of resources for the NVIDIA Isaac Gym framework, a reinforcement learning and robotics platform.
A comprehensive curriculum for learning machine learning and AI development in Python.
Advanced evolutionary computation library built on PyTorch for AI and machine learning applications.
A scalable multi-agent reinforcement learning simulator for autonomous driving research and development.
MixGRPO is a Python library that unlocks flow-based GRPO efficiency with mixed ODE-SDE for diffusion and reinforcement learning.
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