High-level automation is increasingly critical in AI, driven by rapid advances in large language models (LLMs) and AI agents. However, LLMs, despite their general reasoning power, struggle significantly in specialized, data-sensitive tasks such as de...
In parcel delivery, the "last mile" from the parcel hub to the customer is costly, especially for time-sensitive delivery tasks that have to be completed within hours after arrival. Recently, crowdshipping has attracted increased attention as a new a...
This paper presents a Reinforcement Learning (RL) based energy market for a prosumer dominated microgrid. The proposed market model facilitates a real-time and demanddependent dynamic pricing environment, which reduces grid costs and improves the eco...
Addressing the critical shortage of mental health resources for effective screening, diagnosis, and treatment remains a significant challenge. This scarcity underscores the need for innovative solutions, particularly in enhancing the accessibility an...
Generative Artificial Intelligence (GenAI) presents significant advancements but also introduces novel security challenges, particularly within agentic workflows where AI agents operate autonomously. These risks escalate in multi-agent systems due to...
May 18, 2024 · I will show you how to talk to a real live person at the IRS when you call their toll free 800 # phone number. Getting a live agent is sometimes hard, this page will give you tips and shortcuts to …
May 18, 2024 · I will show you how to talk to a real live person at the IRS when you call their toll free 800 # phone number. Getting a live agent is sometimes hard, this page will give you tips and shortcuts to …
May 18, 2024 · I will show you how to talk to a real live person at the IRS when you call their toll free 800 # phone number. Getting a live agent is sometimes hard, this page will give you tips and shortcuts to …
May 18, 2024 · I will show you how to talk to a real live person at the IRS when you call their toll free 800 # phone number. Getting a live agent is sometimes hard, this page will give you tips and shortcuts to …
Bug bounty programs, where external agents are invited to search and report vulnerabilities (bugs) in exchange for rewards (bounty), have become a major tool for companies to improve their systems. We suggest augmenting such programs by inserting art...
and the City (2000–2004, TV Series) – Magda The Jimmy Show (2001) – Ruth Hi-Yah! (2002, Short) – Gramma Fishing (2002) – Ruthie The Station Agent (2003)
We develop an agent-based model of disease transmission in remote communities in Western Australia. Despite extreme isolation, we show that the movement of people amongst a large number of small but isolated communities has the effect of causing tran...
Information is physical, and for a physical theory to be universal, it should model observers as physical systems, with concrete memories where they store the information acquired through experiments and reasoning. Here we address these issues in Spe...
Autonomous agents operating in sequential decision-making tasks under uncertainty can benefit from external action suggestions, which provide valuable guidance but inherently vary in reliability. Existing methods for incorporating such advice typical...
May 18, 2024 · I will show you how to talk to a real live person at the IRS when you call their toll free 800 # phone number. Getting a live agent is sometimes hard, this page will give you tips and shortcuts to …
Classical logics for strategic reasoning, such as Coalition Logic and Alternating-time Temporal Logic, formalize absolute strategic reasoning about the unconditional strategic abilities of agents to achieve their goals. Goranko and Ju, in two recent...
We develop a general framework for reserve systems that allocate scarce resources such as vaccines to unit-demand agents under prioritization and eligibility constraints, along with a computationally efficient mechanism. Reserve systems allocate scar...
We study the asymptotic performance of the Thompson sampling algorithm in the batched multi-armed bandit setting where the time horizon $T$ is divided into batches, and the agent is not able to observe the rewards of her actions until the end of each...
We introduce a novel anytime Batched Thompson sampling policy for multi-armed bandits where the agent observes the rewards of her actions and adjusts her policy only at the end of a small number of batches. We show that this policy simultaneously ach...
May 18, 2024 · I will show you how to talk to a real live person at the IRS when you call their toll free 800 # phone number. Getting a live agent is sometimes hard, this page will give you tips and shortcuts to …
May 18, 2024 · I will show you how to talk to a real live person at the IRS when you call their toll free 800 # phone number. Getting a live agent is sometimes hard, this page will give you tips and shortcuts to …
Advanced multimodal AI agents can now collaborate with users to solve challenges in the world. Yet, these emerging contextual AI systems rely on explicit communication channels between the user and system. We hypothesize that implicit communication o...
Hi everyone, here’s my second at attempt at a query for my book. Let me know what you think and thank you so much! Dear [Agent], I’m seeking representation for my 72,000-word adult fantasy novel...
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May 18, 2024 · I will show you how to talk to a real live person at the IRS when you call their toll free 800 # phone number. Getting a live agent is sometimes hard, this page will give you tips and shortcuts to …
May 18, 2024 · I will show you how to talk to a real live person at the IRS when you call their toll free 800 # phone number. Getting a live agent is sometimes hard, this page will give you tips and shortcuts to …
In the realm of computer vision and robotics, embodied agents are expected to explore their environment and carry out human instructions. This necessitates the ability to fully understand 3D scenes given their first-person observations and contextual...
The moves will save Minnesota a reported $18.65 million against the salary cap in 2026.
### The problem Agent skill marketplaces are repeating every mistake package registries made a decade ago — and adding new ones unique to AI. Since late January 2026,...
Web scraping is a powerful technique that extracts data from websites, enabling automated data collection, enhancing data analysis capabilities, and minimizing manual data entry efforts. Existing methods, wrappers-based methods suffer from limited ad...
Global frameworks increasingly advocate for Responsible Artificial Intelligence (AI) in education, yet they provide limited guidance on how ethical, culturally responsive, and curriculum-aligned AI can be operationalized within functioning teacher ed...
Originating in psychology, $\textit{Theory of Mind}$ (ToM) has attracted significant attention across multiple research communities, especially logic, economics, and robotics. Most psychological work does not aim at formalizing those central concepts...
Identity Security Posture Management (ISPM) is a core challenge for modern enterprises operating across cloud and SaaS environments. Answering basic ISPM visibility questions, such as understanding identity inventory and configuration hygiene, requir...
We study the problem of allocating homogeneous and indivisible objects among agents with money. In particular, we investigate the relationship between egalitarian-equivalence (Pazner and Schmeidler, 1978), as a fairness concept, and efficiency under...
The literature on strategic communication originated with the influential cheap talk model, which precedes the Bayesian persuasion model by three decades. This model describes an interaction between two agents: sender and receiver. The sender knows s...
Experience replay (ER) improves the data efficiency of off-policy reinforcement learning (RL) algorithms by allowing an agent to store and reuse its past experiences in a replay buffer. While many techniques have been proposed to enhance ER by biasin...
FBI agent who works on financial crimes into the writers' room. They also brought in a hedge-fund manager, for information about moving large sums of money
Autonomous marine environmental monitoring problem traditionally encompasses an area coverage problem which can only be effectively carried out by a multi-robot system. In this paper, we focus on robotic swarms that are typically operated and control...
The rapid progress of large language models (LLMs) has opened new opportunities for education. While learners can interact with academic papers through LLM-powered dialogue, limitations still exist: absence of structured organization and high text re...
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