2 papers
cs.LG2026
MemWM: Associative Memory-Enhanced Latent World Models for Long-Horizon Planning
Yuwei Sun, Siyu Zhu
World models trained via latent dynamics offer a scalable path for embodied planning, yet existing methods suffer from representational collapse, computational overhead, and limite…
math.OC2023
Distributionally robust optimization through the lens of submodularity
Karthik Natarajan, Divya Padmanabhan, Arjun Ramachandra
Distributionally robust optimization is used to tackle decision making problems under uncertainty where the distribution of the uncertain data is ambiguous. Many ambiguity sets hav…