In the present work I introduce a semantics based on the cognitive attitudes of acception and rejection entertained by a given society of agents for logics inspired on Dunn and Belnap's First Degree Entailment ($\mathbf{E}$). In contrast to the epist...
Modern edge-cloud systems face challenges in efficiently scaling resources to handle dynamic and unpredictable workloads. Traditional scaling approaches typically rely on static thresholds and predefined rules, which are often inadequate for optimizi...
Signed a two-year contract with the Cardinals on 3/14/24 as an unrestricted free agent following five seasons (2020-23) with the Cincinnati Bengals, who selected him in the first round (11th overall) of …
Reinforcement Learning has recently surfaced as a very powerful tool to solve complex problems in the domain of board games, wherein an agent is generally required to learn complex strategies and moves based on its own experiences and rewards receive...
Understanding and forecasting future trajectories of agents are critical for behavior analysis, robot navigation, autonomous cars, and other related applications. Previous methods mostly treat trajectory prediction as time sequence generation. Differ...
In this report, we introduce the Gemini 2.X model family: Gemini 2.5 Pro and Gemini 2.5 Flash, as well as our earlier Gemini 2.0 Flash and Flash-Lite models. Gemini 2.5 Pro is our most capable model yet, achieving SoTA performance on frontier coding...
We propose a tractable dynamic framework for the joint determination of optimal consumption, portfolio choice, and healthcare irreversible investment. Our model is based on a Merton's portfolio and consumption problem, where, in addition, the agent c...
Jul 11, 2021 · I am not using any private agents. I am using a free subscription. The task in pipeline yaml is as : - task: AzureCLI@2 inputs: azureSubscription: 'Free Trial(<My Subscription id>)' scriptType: …
Mar 6, 2021 · Situation My self-hosted Windows Agent runs a pipeline from Azure DevOps. To manage resources in Azure I want to use an Azure CLI task. The AzureCLI task fails, even though Azure CLI …
Newcastle Disease Virus (NDV), classified as Avian orthoavulavirus 1 (avian paramyxovirus type 1), is a promising oncolytic agent that selectively targets and destroys cancer cells while sparing normal tissues. Its oncoselectivity exploits cancer-spe...
In the context of addressing the Robot Air Hockey Challenge 2023, we investigate the applicability of model-based deep reinforcement learning to acquire a policy capable of autonomously playing air hockey. Our agents learn solely from sparse rewards...
The Model Context Protocol (MCP) has emerged as a universal standard that enables AI agents to seamlessly connect with external tools, significantly enhancing their functionality. However, while MCP brings notable benefits, it also introduces signifi...
Bioinformatics tools are essential for complex computational biology tasks, yet their integration with emerging AI-agent frameworks is hindered by incompatible interfaces, heterogeneous input-output formats, and inconsistent parameter conventions. Th...
The Model Context Protocol (MCP) represents a significant advancement in AI-tool integration, enabling seamless communication between AI agents and external services. However, this connectivity introduces novel attack vectors that remain largely unex...
Model Context Protocol (MCP) has recently gained increased attention within the AI community for providing a standardized way for large language models (LLMs) to interact with external tools and services, significantly enhancing their capabilities. H...
https://preview.redd.it/8gld2w828wdg1.png?width=1816&format=png&auto=webp&s=1966fe4a219b4aeb97fe7c49e578edff7f383e80 The productivity landscape has fundamentally shifted. With AI apps gen...
https://preview.redd.it/906q0pryjwbg1.png?width=1818&format=png&auto=webp&s=8857a851facf36365c8ffce5abc526f2fabb27ef The AI agent market is experiencing explosive growth—valued at [$7.8...
https://preview.redd.it/ovc52vv99aeg1.png?width=1694&format=png&auto=webp&s=1203af0bbd56c3fccd7f54d436cb7e090a9baf90 The modern enterprise runs on workflows—approval chains, data handof...
Sep 8, 2025 · NEW: The Supreme Court has granted the Trump administration's request to block a ruling by a federal judge in Los Angeles that barred federal agents from conducting immigration …
In this paper, we investigate the roles that social robots can take in physical exercise with human partners. In related work, robots or virtual intelligent agents take the role of a coach or instructor whereas in other approaches they are used as mo...
Is there a canonical way to think of agency beyond reward maximisation? In this paper, we show that any type of behaviour complying with physically sound assumptions about how macroscopic biological agents interact with the world canonically integrat...
The Job Shop Schedule Problem (JSSP) refers to the ability of an agent to allocate tasks that should be executed in a specified time in a machine from a cluster. The task allocation can be achieved from several methods, however, this report it is exp...
&#x200B; https://preview.redd.it/yfmu8q3c42z81.jpg?width=900&format=pjpg&auto=webp&s=0de868f7c75c9b660e926ebb9e982324e7ebc052 &#x200B; Even with 262 college prospects being sele...
Joey arrives in Hollywood to pursue acting; reunites with his sister Gina and her genius son, Michael; meets with his agent, Bobbie; and befriends his sexy married neighbor, Alex.
This paper studies contracting in the presence of externalities with a non-contractible outsider. Multiple equilibria arise from strategic symmetry between the insider agent and the outsider. To address strategic uncertainty, the principal guarantees...
For over a decade now, robotics and the use of artificial agents have become a common thing.Testing the performance of new path finding or search space optimization algorithms has also become a challenge as they require simulation or an environment t...
This paper presents an evaluation framework for agentic AI systems in mission-critical negotiation contexts, addressing the need for AI agents that can adapt to diverse human operators and stakeholders. Using Sotopia as a simulation testbed, we prese...
We consider linear search for an escaping target whose speed and initial position are unknown to the searcher. A searcher (an autonomous mobile agent) is initially placed at the origin of the real line and can move with maximum speed $1$ in either di...
1 day ago · Malik Willis' price keeps rising. Free agency hasn't even arrived yet, and the contract cost for the free agent QB from the Green Bay Packers has continued to skyrocket.
Sup [r/nba](http://www.reddit.com/r/nba)? The finals are over, so now it's officialy F5-ing season! Did this [last offseason](https://www.reddit.com/r/nba/comments/3ad2kr/201516_nba_free_agents_and_te...
Dec 27, 2025 · Discover the top 15 free AI agent courses. Learn to build and deploy agents with hands-on training from Hugging Face, LangGraph, and more.
AI agents are changing the way we work by automating tasks and making smarter decisions. I’ve picked the best courses to help you learn how to build and use them. There are a lot of AI agent courses out …
When artificial agents are jointly trained to perform collaborative tasks using a communication channel, they develop opaque goal-oriented communication protocols. Good task performance is often considered sufficient evidence that meaningful communic...
Planning with partial observation is a central challenge in embodied AI. A majority of prior works have tackled this challenge by developing agents that physically explore their environment to update their beliefs about the world state. In contrast,...
Generative world models (WMs) can now simulate worlds with striking visual realism, which naturally raises the question of whether they can endow embodied agents with predictive perception for decision making. Progress on this question has been limit...