Showing 281-300 of 323 projects
FinRL Tutorials - a collection of Jupyter Notebooks for financial reinforcement learning.
A computational framework for reinforcement learning in traffic control and autonomous vehicle management.
This Python library from UC Berkeley's RAIL lab is focused on reinforcement learning research and applications.
A C++ plugin that transforms Grand Theft Auto V into a self-driving car research environment
No description available for a Python repository focused on reinforcement learning.
A C++ library for simulation and deployment of robot reinforcement learning algorithms for quadruped, wheeled, and humanoid robots.
Procedurally-generated game-like environments for AI and reinforcement learning research.
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 collection of hacks and techniques for training reinforcement learning systems from a Deep RL Bootcamp lecture.
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.
An A3C algorithm implementation for training an AI agent to play Super Mario Bros
A dataset and reinforcement learning algorithm for endowing audio language models with bimodal reasoning abilities.
An intelligent audit decision system powered by large language models and advanced AI technologies like knowledge graphs and reinforcement learning.
A Python library for efficient online 3D bin packing using deep reinforcement learning and packing configuration trees.
A Theano-based implementation of Deep Q-learning, a reinforcement learning algorithm.
A deep reinforcement learning library for training robotic agents to plan pushing and grasping actions for manipulation tasks.
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