Showing 81-100 of 104 projects
A collection of basic examples for learning and experimenting with Reinforcement Learning in Python.
Efficient communication library for GPUs, covering collectives, P2P, and EP for AI/ML workloads
A critical perspective on understanding R1-Zero-Like Training, a technique for large language models.
An interface library for reinforcement learning (RL) post-training with environments.
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
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 C++ library for simulation and deployment of robot reinforcement learning algorithms for quadruped, wheeled, and humanoid robots.
A C++ library for rigid body kinematics, dynamics, motion planning, and control, useful for robotics and related applications.
An open-source framework for building, evaluating, and training general multi-agent assistance systems using AI tools.
A collection of hacks and techniques for training reinforcement learning systems from a Deep RL Bootcamp lecture.
An async RL training library for scaling AI model training and deployment.
A scalable multi-agent reinforcement learning simulator for autonomous driving research and development.
A dataset and reinforcement learning algorithm for endowing audio language models with bimodal reasoning abilities.
A Theano-based implementation of Deep Q-learning, a reinforcement learning algorithm.
OmniSafe is an infrastructural framework for accelerating safe reinforcement learning research.
A comprehensive library for few-shot learning in Python with PyTorch, featuring state-of-the-art algorithms.
A Python library for Model-Based Reinforcement Learning research and development.
An index of algorithms for offline reinforcement learning (offline-rl) targeting AI and ML researchers.
Fast and efficient Jax-based reinforcement learning implementations for developers building AI-powered applications.
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