Patrick Nalepka

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Patrick Nalepka

Patrick Nalepka

@shortfox_

Human-AI Teaming, Skill Learning, and #SocialVR. Lecturer @PsyMQ

Sydney, New South Wales Katılım Mart 2012
683 Takip Edilen309 Takipçiler
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Tencent HY
Tencent HY@TencentHunyuan·
We're thrilled to release & open-source Hunyuan3D World Model 1.0! This model enables you to generate immersive, explorable, and interactive 3D worlds from just a sentence or an image. It's the industry's first open-source 3D world generation model, compatible with CG pipelines for full editability & simulation. Set to transform game development, VR, digital content creation and so on. Get started now👇🏻 Project Page:3d-models.hunyuan.tencent.com/world/ Try it now:3d.hunyuan.tencent.com/sceneTo3D Github:github.com/Tencent-Hunyua… Hugging Face:huggingface.co/tencent/Hunyua…
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Eugene Vinitsky 🦋
Eugene Vinitsky 🦋@EugeneVinitsky·
We deployed 100 deep RL cruise controllers into rush-hour highway traffic to smooth traffic flow and reduce everyone’s energy consumption. Our AVs were decentralized and used standard radar, making our controllers deployable on most cars 1/n
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Saaket Agashe
Saaket Agashe@saa1605·
🔮Demystifying Coordination in #LLMs: We are excited to announce LLM-Coordination, a new benchmark for the evaluation and analysis of #LLMs in Multi-agent coordination tasks. Our benchmark studies two task settings: 1. 🤖 Agentic Coordination, where LLMs act as proactive participants for cooperation in 4 pure coordination games; 2. ❓Coordination Question Answering (CoordQA), where LLMs are prompted to answer questions from coordination games for evaluation of three key reasoning abilities: Environment Comprehension, #ToM Reasoning, and Joint Planning. Interestingly, we find that LLM agents excel at coordination games where the primary challenge is common-sense reasoning about the environment 🌎 and following the rules of the game. However, they struggle at games requiring an advanced Theory Of Mind🤔 #ToM, which is the ability to reason about the beliefs and intentions of their partners! Keep Reading 🧵 for the details and discoveries! Website: eric-ai-lab.github.io/llm_coordinati… 📜paper: arxiv.org/abs/2310.03903 🔗data & code: github.com/eric-ai-lab/ll…
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Melanie Mitchell
Melanie Mitchell@MelMitchell1·
Wrenching news: Dan Dennett has died. He's been a great friend and incredible inspiration for me throughout my career. I will miss him enormously. dailynous.com/2024/04/19/dan…
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Patrick Nalepka
Patrick Nalepka@shortfox_·
@DrTomFroese Great talk today at Macquarie! I was sitting quietly in the audience, but if you are still around Sydney our social interaction research group at MQ and @ManuelVarlet at WSU may benefit from a discussion of this paper
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Tim Rocktäschel
Tim Rocktäschel@_rockt·
I am really excited to reveal what @GoogleDeepMind's Open Endedness Team has been up to 🚀. We introduce Genie 🧞, a foundation world model trained exclusively from Internet videos that can generate an endless variety of action-controllable 2D worlds given image prompts.
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Arjun Ashok
Arjun Ashok@arjunashok37·
Foundation models are well-established in vision and language, but time series forecasting has lagged behind - it still relies on dataset-specific models. Meet Lag-Llama: the first open-source foundation model for time series forecasting!
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Inês Hipólito
Inês Hipólito@ineshipolito·
what's happening 👇
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AI at Meta
AI at Meta@AIatMeta·
Together with the Ego4D consortium, today we're releasing Ego-Exo4D, the largest ever public dataset of its kind to support research on video learning & multimodal perception — including 1,400+ hours of videos of skilled human activities. Download ➡️ bit.ly/3teP49w
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Patrick Nalepka
Patrick Nalepka@shortfox_·
Today is my first day as Lecturer @PsyMQ! Excited to continue working with my colleagues and collaborators in 🧍↔️🧍, 🧍↔️🤖, and #SocialVR 🤿!
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Minqi Jiang
Minqi Jiang@MinqiJiang·
Autocurricula can produce more general agents...but can be expensive to run 💸. Today, we're releasing minimax, a JAX library for RL autocurricula with 120x faster baselines. Runs that took 1 week now take < 3 hours. Paper: arxiv.org/abs/2311.12716 github.com/facebookresear…
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Dhruv Batra
Dhruv Batra@DhruvBatra_·
Announcing Habitat 3.0, simulating humanoid avatars and robots collaborating! - Humanoid sim: diverse skinned avatars - Human-in-the-loop control: mouse/keyboard or VR - Tasks: social navigation and rearrangement Over 1,000 steps per second on 1 GPU for large-scale learning!
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James Trujillo
James Trujillo@jamesptrujillo·
Interested in #OpenScience, machine learning, motion tracking, and/or (social) signal processing? envisionbox.org has officially launched! 🚀 This is a community-driven platform for learning and sharing methods, with everything open-source (using R and Python).
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