Reinforcement learning (RL) has become a pivotal component of large language model (LLM) post-training, and agentic RL extends this paradigm to operate as agents through multi-turn interaction and tool use. Scaling such systems exposes two practical...
Tuning one's shower in some hotels may turn into a challenging coordination game with imperfect information. The temperature sensitivity increases with the number of agents, making the problem possibly unlearnable. Because there is in practice a fini...
We address formally the problem of opinion dynamics when the agents of a social network (e.g., consumers) are not only influenced by their neighbors but also by an external influential entity referred to as a marketer. The influential entity tries to...
...
In recent work, we proposed a distributed Banach-Picard iteration (DBPI) that allows a set of agents, linked by a communication network, to find a fixed point of a locally contractive (LC) map that is the average of individual maps held by said agent...
monday.com is the best AI work platform. Drive exponential execution and empower teams to expand what they achieve with an AI-powered product suite, AI agents, AI workflows, AI assistant and AI …
Antifreeze glycoproteins (AFGPs) are among the most potent ice recrystallization inhibition (IRI) agents, yet the molecular basis for their counterintuitive decline in activity with increasing glycosylated threonine (T*) content remains unresolved. T...
Collection of n8n workflows, n8n templates, AI automations, and AI agents created for The Recap AI YouTube channel and the AI Automation Mastery free Skool community. (⭐ 1349)
**TL;DR**: AI agents are rapidly becoming the primary way people interact with their digital tools. Apps without robust APIs will become irrelevant as users migrate to systems that AI can actually con...
Build Real-Time Knowledge Graphs for AI Agents (⭐ 23392)
Jan 30, 2026 · While hydrating ingredients are critical for any moisturizer, the best moisturizer for aging skin would also include peptides, antioxidants, and brightening agents, says Dr. Prather.
In many machine learning applications, there are multiple decision-makers involved, both automated and human. The interaction between these agents often goes unaddressed in algorithmic development. In this work, we explore a simple version of this in...
Ensuring the safety of embodied AI agents during task planning is critical for real-world deployment, especially in household environments where dangerous instructions pose significant risks. Existing methods often suffer from either high computation...
This paper investigates the intriguing question of whether we can create learning algorithms that automatically generate training data, learning environments, and curricula in order to help AI agents rapidly learn. We show that such algorithms are po...
There is broad interest in creating RL agents that can solve many (related) tasks and adapt to new tasks and environments after initial training. Model-based RL leverages learned surrogate models that describe dynamics and rewards of individual tasks...
Gong Revenue AI OS helps your entire GTM organization win. Drive growth with multimodal revenue signal processing, specialized AI agents, and purpose-built applications.
...
The Naming Game is an agent-based model where individuals communicate to name an initially unnamed object. On a large class of networks continual pairwise interactions lead the system to an ultimate consensus state, in which agents converge on a glob...
To analyze the nuances of the root concept of neutral in social networks, we focus on several related interpretations and suggest corresponding mathematical models for each of them from the family of information-sharing multi-agents network games kno...
Station is our open-source runtime that lets teams deploy agents on their own infrastructure with full control. (⭐ 386)