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continual learning 26 reinforcement learning 9 language models 5 large language models 4 robotics 4 agents 3 generative models 3 multi-agent systems 3 recursive self-improvement 3 vision-language models 3

14 SEP 2026 · Paper

HarnessVLN: Unifying Training-Free Embodied Navigation through an Agent Harness

This paper introduces HarnessVLN, a training-free framework for embodied navigation that uses a unified tool interface to validate proposed actions against spatial evidence and task progress, allowing agents to generalize and learn from multimodal large language models.

embodied navigation multimodal large language models training-free methods spatial reasoning task validation

13 SEP 2026 · Paper

OmniHarness: Harnessing Generalizable Visual Generation via Symbolic Policy Learning

This paper introduces OmniHarness, a framework that enables generalizable visual generation by learning symbolic policies that can be applied to multiple tasks, allowing for more efficient and effective visual generation. Practitioners might care about this research because it could lead to more robust and adaptable visual generation systems.

multimodal large language models symbolic policy learning visual generation continual learning visual agents