Interactive demo showcasing MiniMax-M2's interleaved thinking for agentic workflows, demonstrating adaptive strategy after each tool call with transparent traces and cost benchmarking.

Abstract: In this work, we focus on solving non-smooth non-convex maximization problems in multi-group multicast transmission. By leveraging Karush-Kuhn-Tucker (KKT) optimality conditions, we ...

Abstract: We study agents acting in an unknown environment where the agent’s goal is to find a robust policy. We consider robust policies as policies that achieve high cumulative rewards for all ...