arxiv.org/abs/2503.12532v2
Developing AI agents to autonomously manipulate graphical user interfaces is a long challenging task. Recent advances in data scaling law inspire us to train computer-use agents with a scaled instruction set, yet using behavior cloning to train agent...
arxiv.org/abs/2406.11247v1
Building an embodied agent system with a large language model (LLM) as its core is a promising direction. Due to the significant costs and uncontrollable factors associated with deploying and training such agents in the real world, we have decided to...
arxiv.org/abs/2511.20663v5
Reliability in multi-agent systems (MAS) built on large language models is increasingly limited by cognitive failures rather than infrastructure faults. Existing observability tools describe failures but do not quantify how quickly distributed reason...
arxiv.org/abs/2408.12845v2
This paper considers a novel variant of the online fair division problem involving multiple agents in which a learner sequentially observes an indivisible item that has to be irrevocably allocated to one of the agents while satisfying a fairness and...
github.com/sean-stanley/agentic-dao-visier
have AI oversee and review proposals for DAO governance (⭐ 2)
arxiv.org/abs/2507.05030v1
Recently, research into chatbots (also known as conversational agents, AI agents, voice assistants), which are computer applications using artificial intelligence to mimic human-like conversation, has grown sharply. Despite this growth, sociology lag...
arxiv.org/abs/2503.12029v1
Large Language Models (LLMs) have advanced autonomous agents' planning and decision-making, yet they struggle with complex tasks requiring diverse expertise and multi-step reasoning. Multi-Agent Debate (MAD) systems, introduced in NLP research, addre...
www.reddit.com/r/Bones/comments/16i2nln/bones_as_a_character_has_aged_terribly/
I keep on seeing on rest of reddit and Twitter how Bones has aged so well and how she is the OG autistic coded female hero. I see this especially in comparison the the 'Good Doctor'. So I decided to r...
arxiv.org/abs/2003.08938v7
A deep reinforcement learning (DRL) agent observes its states through observations, which may contain natural measurement errors or adversarial noises. Since the observations deviate from the true states, they can mislead the agent into making subopt...
en.wikipedia.org/wiki/Key_Hunter
Kuroki Tetsuya) — played by Tetsuro Tanba ex-intelligence agent Keiko Tsugawa (津川 啓子, Tsugawa Keiko) — played by Yōko Nogiwa ex-intelligence agent Ichiro Fubuki
arxiv.org/abs/0911.0215v1
Individual expression profiles from EBV transformed cell lines are an emerging resource for genomic investigation. In this study we characterize the effects of age, sex, and genetic variation on gene expression by surveying public datasets of such...
github.com/genlayerlabs/yeagerai-agent
No description (⭐ 596)
arxiv.org/abs/1409.7380v2
We consider a service system where agents are invited on-demand. Customers arrive exogenously as a Poisson process and join a customer queue upon arrival if no agent is available. Agents decide to accept or decline invitations after some exponentiall...
arxiv.org/abs/1405.7751v1
We consider the situation in which an organizer is trying to convene an event, and needs to choose a subset of agents to be invited. Agents have preferences over how many attendees should be at the event and possibly also who the attendees should be....
www.reddit.com/r/Entrepreneur/comments/174o7vd/i_run_an_ai_automation_agency_aaa_my_honest/
I started an AI tools directory in February, and then branched off that to start an AI automation agency (AAA) in June. So far I've come across a lot of unsustainable "ideas" to make money with AI, bu...
www.reuters.com/article/us-people-cesar-pelli/csar-pelli-argentine-architect-behind-the-petronas-towers-dies-aged-92-idUSKCN1UE2RM
Points: 1 | Comments: 0 | Author: pseudolus
arxiv.org/abs/2407.05674v3
Large Language Models can carry out human-like conversations in diverse settings, responding to user requests for tasks and knowledge. However, existing conversational agents implemented with LLMs often struggle with hallucination, following instruct...
arxiv.org/abs/2202.01297v1
We study the probability distribution of age of information (AoI) in arbitrary networks with memoryless service times. A source node generates packets following a Poisson process, and then the packets are forwarded across the network in such a way th...
www.bing.com/ck/a?!&&p=d9bc9a9c473133c0f31eeb65d40cc65fe928a2cd589fc0557ed4a9098e69b7d0JmltdHM9MTc3MjQ5NjAwMA&ptn=3&ver=2&hsh=4&fclid=21d56aca-f762-6c06-3747-7ddbf6446deb&u=a1aHR0cHM6Ly9mb3J1bWZpdG5lc3NjZW50ZXIuY29tL3N3aW0tbGVzc29ucy8&ntb=1
Swim Lessons Programs based on age and skill level HOW IT WORKS Step 1 Assess Age & Skill Level Step 2 Determine Placement Step 3 Assign Schedule Get More
arxiv.org/abs/2505.21496v1
In this paper, we introduce UI-Genie, a self-improving framework addressing two key challenges in GUI agents: verification of trajectory outcome is challenging and high-quality training data are not scalable. These challenges are addressed by a rewar...