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Awesome GitHub RepositoriesEmbodied Agent Training
Frameworks for executing reinforcement learning and supervised fine-tuning for agents in simulated and real-world robotic environments.
Distinct from Robot Embodiment Fine-Tunings: Broadly covers the end-to-end training of embodied agents, which is distinct from just embodiment-specific fine-tuning.
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Awesome Embodied Agent Training GitHub Repositories
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- rlinf/rlinf
RLinf/RLinf
2,502Auf GitHub ansehenRLinf is a distributed reinforcement learning orchestrator and embodied AI training framework. It provides the infrastructure to train vision-language-action models and robotic policies using a combination of reinforcement learning and supervised fine-tuning. The system is designed for scaling workloads across GPU clusters, managing the placement of actors, rollout workers, and environment components. It features a specialized robotics data collection pipeline for gathering teleoperated demonstrations and simulation trajectories into standardized replay buffers, alongside a hardware interface
Executes reinforcement learning and supervised fine-tuning for models across simulated and real-world robotic environments.
Pythonagentic-aiembodied-aireinforcement-learning
