Consumption-based pricing for SharePoint agents in Microsoft 365
Mar 6, 2025 · Learn more about the pay-as-you-go pricing model as it relates to SharePoint agents in Microsoft 365. Last month, we introduced consumption-based pricing for...
9.30.2025 Updated Analysis: In a five-story apartment building housing over 100 residents…
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How to use create-<breeds>-with between two breed turtle agents?
Tags: network-programming, netlogo | Score: 3
‘Quit your job’: Former D.C. officer blasts federal agents carrying out Trump’s takeover |…
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Lindsey & Associates | Northwest Arkansas Real Estate
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OfficeDev/microsoft-365-agents-toolkit
Developer tools for building Teams apps (⭐ 673)
agentscope-ai/CoPaw
Your Personal AI Assistant; easy to install, deploy on your own machine or on the cloud; supports multiple chat apps with easily extensible capabilities. (⭐ 9357)
An IBM Guide to AI Agents: Beyond the Buzz
Hey, Reddit! We know there’s a lot of curiosity (and confusion) around how autonomous AI agents can change the way we work. We pulled real questions from Redditors to break down the most important c...
Border Patrol agents point shotguns at press as they reportedly were preparing to evacuate…
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agentsoz/ees
Emergency Evacuation Simulator (⭐ 8)
Adaptability of Improved NEAT in Variable Environments
A large challenge in Artificial Intelligence (AI) is training control agents that can properly adapt to variable environments. Environments in which the conditions change can cause issues for agents trying to operate in them. Building algorithms that...
Beyond frustrated, unprofessional support agents | Ring Community
Mar 6, 2024 · Dear ringThis is now the 4-5 time my alarm has falsely trigger 5 or so minutes after arming and leaving. I called today and the very unprofessional agents accent was difficult to understand. As …
Learning to Speak and Act in a Fantasy Text Adventure Game
We introduce a large scale crowdsourced text adventure game as a research platform for studying grounded dialogue. In it, agents can perceive, emote, and act whilst conducting dialogue with other agents. Models and humans can both act as characters w...
FlashAdventure: A Benchmark for GUI Agents Solving Full Story Arcs in Diverse Adventure Ga…
GUI agents powered by LLMs show promise in interacting with diverse digital environments. Among these, video games offer a valuable testbed due to their varied interfaces, with adventure games posing additional challenges through complex, narrative-d...
Training Turn-by-Turn Verifiers for Dialogue Tutoring Agents: The Curious Case of LLMs as…
Intelligent tutoring agents powered by large language models (LLMs) have been increasingly explored to deliver personalized knowledge in areas such as language learning and science education. However, their capabilities in guiding users to solve comp...
WebCanvas: Benchmarking Web Agents in Online Environments
For web agents to be practically useful, they must adapt to the continuously evolving web environment characterized by frequent updates to user interfaces and content. However, most existing benchmarks only capture the static aspects of the web. To b...
Joint Centrality Distinguishes Optimal Leaders in Noisy Networks
We study the performance of a network of agents tasked with tracking an external unknown signal in the presence of stochastic disturbances and under the condition that only a limited subset of agents, known as leaders, can measure the signal directly...
Partial Gathering of Mobile Agents in Asynchronous Rings
In this paper, we consider the partial gathering problem of mobile agents in asynchronous unidirectional rings equipped with whiteboards on nodes. The partial gathering problem is a new generalization of the total gathering problem. The partial gathe...
Reinforcement Learning for Long-Horizon Multi-Turn Search Agents
Large Language Model (LLM) agents can leverage multiple turns and tools to solve complex tasks, with prompt-based approaches achieving strong performance. This work demonstrates that Reinforcement Learning (RL) can push capabilities significantly fur...
Regret-free truth-telling voting rules
We study the ability of different classes of voting rules to induce agents to report their preferences truthfully, if agents want to avoid regret. First, we show that regret-free truth-telling is equivalent to strategy-proofness among tops-only rules...