AgenticRoboRL

by xinxinliu-ai · indexed from github

Post-training robot planners with SFT and multi-turn RL across agentic robotics harnesses

AgenticRoboRL trains the planner model of a robot harness inside the harness itself. A harness pairs a language model planner with robot tools: the planner may call a VLA policy as a skill, or write Python against the harness's robot APIs. The harness keeps its tools and its control loop, and only the planner is trained.

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