Preprint Open access
Long-MDR: Long-Context Reinforcement Learning for Multimodal Deep-Research Agents
The next generation of multimodal research agents must reason over long-lived research histories rather than short model completions. During a single task, an agent may repeatedly search the web, inspect visual evidence, revisit earlier hypotheses, and accumulate tens of thousands of tokens of multimodal context. Despi …