Topic
constrained optimization
Multi-Agent RL System MAMO Automates Weight Selection for Constrained Optimization Problems
MAMO decouples task execution from objective design using multi-agent RL to automatically select reward weights for constrained optimization, improving adaptability in dynamic environments.
Learning What to Remember: Observability-Safe Memory Retention via Constrained Optimization for Long-Horizon Language Agents
A new research paper formulates memory retention in long-horizon language agents as a constrained stochastic optimization problem, proposing OSL-MR (Observability-Safe Learning for Memory Retention). The method combines an evidence learner with a Mixed-Score heuristic, achieving superior performance under tight budgets on benchmarks LoCoMo and LongMemEval. The work establishes a principled foundation for memory management in AI agents.
LearnOpt Uses Knowledge Graphs and Optimization to Reveal Hidden Structure in Standardized Exams
Researchers introduce LearnOpt, a system that recovers latent cognitive structures from standardized examinations using knowledge graphs and constrained optimization. Applied to NEET and JEE Advanced, it reveals stable skill distributions within syllabus regimes and significant shifts after curricular changes.