Showing 41-60 of 104 projects
A fast and simple implementation of learning algorithms for robotics in Python.
An open-source implementation of a Flow Matching Model for training AI agents via online reinforcement learning.
Scalable reinforcement learning solution for advanced reasoning of language models.
An end-to-end autonomous driving benchmark with a world model RL expert for developers working on AI-powered driving systems.
A deep reinforcement learning competition for self-driving car simulations, part of the MIT Deep Learning series.
Isaac Lab API, powered by MuJoCo-Warp, for reinforcement learning and robotics simulation research.
A collection of robotics environments for benchmarking multi-task and meta reinforcement learning.
An open-source reinforcement learning system from ByteDance Seed and Tsinghua AIR for AI-driven development tools.
Train your agent model via an easy and efficient reinforcement learning framework
An open-source framework for creating scalable RL training swarms over the internet.
A modular full-stack reinforcement learning library for large language models (LLMs).
An offline deep reinforcement learning library for Python developers working on AI-powered applications.
verl-agent is a Python framework for training LLM/VLM agents using reinforcement learning.
A curated list of papers on Agential Language Models and Reinforcement Learning for AI developers.
A TensorFlow implementation of Deep Reinforcement Learning algorithms and papers.
Free reinforcement learning course that takes developers from zero to pro using Jupyter Notebooks.
A curated list of Diffusion Model in RL resources for developers working with AI tools.
A collection of experiments to investigate core capabilities of reinforcement learning agents.
A curated list of resources for deep reinforcement learning and the future of AI.
A Python library for building robotic applications based on the IsaacLab framework.
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