MLINFO COLLECTION

AI Agent

ツール利用、計画、マルチエージェント、コード実行などエージェント実装に関係する情報です。

記事一覧

10 / 27
arxiv

When More Planning Hurts: Learned Planners for World Models

On PushT, our fixed action updater (1,505 parameters) solves 8 of 16 scenes reserved from our configuration selection. The comparison planners perform as follows: Selected Adam (7 tasks solved, total…

deep-learning
arxiv

Test-Time Communication in Trading Agent Swarms

Communication between agents has mostly been studied on tasks with a shared objective and fast, clear feedback. Trading has neither: each agent manages its own account, with decisions being scored by…

computer-vision
arxiv

Impossibility of No-Regret in Multi-Agent Bidding

We consider $T$ repeated second-price auctions across $n$ pacing bidders with i.i.d. item arrivals, and show that it is computationally impossible for all bidders to achieve no-regret simultaneously…

reinforcement-learning
arxiv

The Value of Memory in Language Agents

Memory enables language agents to carry useful distinctions from past experience into future decisions. Its value depends on which distinctions survive, whether a bounded agent can use them, and what…

mlops
arxiv

PriMa-Causa: Causal Prescriptive Maintenance

Automated manufacturing requires data-driven decisions under uncertainty and sparse observational records, and unplanned downtime is a dominant cost of getting them wrong. Prescriptive maintenance…

machine-learning