Ada-Diffuser is a causal diffusion model that jointly learns observed interaction structure and underlying latent dynamics from minimal observations for adaptive planning and policy learning.
Stackelberg pomdp: A reinforcement learning approach for economic design
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Coding agents require a three-level proactivity taxonomy (Reactive, Scheduled, Situation Aware) evaluated by insight policy quality using Insight Decision Quality, Context Grounding Score, and Learning Lift.
A bilevel MARL framework with curriculum learning and closed-loop sequential updates learns stable tax policies in multi-group taxation simulations, extending effective game duration by 60.92% and reducing GDP disparities by 44.12% versus baseline.
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Ada-Diffuser: Latent-Aware Adaptive Diffusion for Decision-Making
Ada-Diffuser is a causal diffusion model that jointly learns observed interaction structure and underlying latent dynamics from minimal observations for adaptive planning and policy learning.
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Agentic Coding Needs Proactivity, Not Just Autonomy
Coding agents require a three-level proactivity taxonomy (Reactive, Scheduled, Situation Aware) evaluated by insight policy quality using Insight Decision Quality, Context Grounding Score, and Learning Lift.
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Hierarchical Multiagent Reinforcement Learning for Multi-Group Tax Game
A bilevel MARL framework with curriculum learning and closed-loop sequential updates learns stable tax policies in multi-group taxation simulations, extending effective game duration by 60.92% and reducing GDP disparities by 44.12% versus baseline.