arXiv cs.RO·· 2 days agoAI score60
Flex-RSI: Benchmarking recursive self-improvement of frontier agents on vision and robotics tasks
Summary
Flex-RSI is a benchmark for evaluating agents' recursive self-improvement capability under a fixed budget, covering perception, reasoning, robot action, 3D reconstruction, visual creation, and infrastructure tasks. In each round, an executor improves the task solution, which is kept only if it scores higher on held-out validation data; an improver then revises the harness, including the executor and itself. Final solutions are scored on hidden test data.
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Source: arXiv cs.RO · arxiv.org
Robot models and learningResearch papersBenchmarks and evaluations#Research#Evaluations and benchmarks#Robot models and learning
Part of the event: Flex-RSI: A Benchmark for Evaluating Recursive Self-Improvement in Agents