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Operations for merging or splitting distributed RL experience buffers.
Distinct from Buffer Managers: None of the candidates cover RL experience buffers; they focus on text editors or GPU memory allocation.
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RLinf 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
Merges multiple distributed experience buffers into one or splits single buffers into smaller subsets.