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Aleksandra Faust
@AleksandraFaust
Foundation Models & AI Agents for the Real World | AI Innovation from Inception to Societal Impact | @genesismolai@GoogleDeepMind@Waymo@SandiaLabs
Palo Alto, CA
Joined April 2009
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    I’m humbled to share that I’ve been elevated to IEEE Fellow, Class of 2026! Citation: "For technical contributions to learning-based scalable autonomy and foundation models." Research is a team sport. This belongs to the incredible mentors & collaborators who shaped my path.
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    I am hiring a research engineering lead for my team @GoogleAI. If you have background in autonomy, autonomous systems, and reinforcement learning, passion to make a difference, and are a true team player, apply directly: careers.google.com/jobs/results/7…
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    Very excited to share our recent work, which enables automated design of new RL algorithms. We will be presenting it as oral at ICLR on Wed, 5-May. sites.google.com/corp/view/evol… w/@JDCoReyes @yingjieMiao @dypeng @estebitius @svlevine @quocleix @honglaklee @AleksandraFaust
    Today we present a new approach for automated discovery of generalizable #ReinforcementLearning algorithms that evolves a population of loss functions — represented by computational graphs — over a set of simple training environments. Learn more at goo.gle/3dFzDML
    GIF
    sites.google.com
    Evolving RL
    arXiv | ICLR Oral Talk | github | algorithms | openreview | blog post Abstract: We propose a method for meta-learning reinforcement learning algorithms by searching over the space of computational...
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    Bittersweet feelings today, as I wrap up nearly 10 incredible years at Google! Immensely grateful for the amazing colleagues, the friendships, and the chance to contribute to impactful projects like @Waymo, Google Brain Robotics/RL, Gemini Next Self-Improvement & Foundational
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    Personal update: I’m beyond excited to share that I have joined @genesistxai as Chief AI Officer! It's an honor to join this mission and use #AIForGood to forge new treatments and deliver hope to families facing severe diseases. The GEMS platform is at the forefront of AI-driven
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    Join my team at @genesistxai ! 🧬 We're forging AI foundation models to unlock groundbreaking therapies for patients with severe diseases. We're hiring ML Scientists, Engineers, TPMs & Interns in foundation models, #LLMs , #RL, #diffusion models, and other cutting-edge areas of
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    Very excited to share this work that with a simple idea reduces carbon footprint of training RL model by up to 3.8x w/ @Srivatsan91 , @profvjreddi, and other collaborators from @hseas and @DeepMind.
    Introducing ActorQ, a novel paradigm that uses a quantization optimization technique to speed up #ReinforcementLearning training and reduce RL training’s carbon footprint, while maintaining performance. Learn more at → goo.gle/3RgCEUC
    GIF
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    A little sneak peak, #CoRL2021 is moving to #OpenReview. Submission deadline on 18-June. Official info coming up soon @corl_conf.
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    What's the best way to learn deep RL? Write a book, of course! Congratulations @lgraesser3! Honored to work with you! Foundations of Deep Reinforcement Learning: Theory and Practice in Python (Addison-Wesley Data & Analytics Series) amazon.com/dp/0135172381/…
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    Can we learn RL algorithms that outperform existing ones, generalize to a wide variety of environments, and can be analyzed? Evolving Reinforcement Learning Algorithms Friday @ Deep RL Workshop at @NeurIPSConf Room: B.b6, 12:30-13:30 and 18:00-19:00 PT.
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    Deeply honored to receive Early Government or Industry Career Award in Robotics and Automation @ieeeras to be presented @icra2020. Many thanks to all of my collaborators and mentors without whom this would not be possible. Congrats to the other winners! ieee-ras.org/about-ras/late…
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    Replying to @AleksandraFaust
    Multi-Agent Reinforcement Learning for Microprocessor Design Space Exploration, Krishnan et al., Oral #MLSyS, arxiv.org/abs/2211.16385 Hardware architecture design is a search over a complex interconnected system. #MARL brings up 60x improvement over single RL agents.
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    It was a great honor to give a keynote at @iros2022 and share some of the team's recent work toward generalist agents in real world and scalable autonomy.
    Grab your seats fast! The Keynote sessions have started. We have Vivian Chu (@dr_vchu),@DiligentRobots as our very first speaker. Followed by Aleksandra Faust (@AleksandraFaust), Google Research, and James Kuffner (@james_kuffner), @ToyotaMotorCorp #iros2022
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    Excited to attend @icmlconf in Vienna. I'll be here the whole week. Let me know if you want to catch up. I am looking forward to connecting with everyone. Here is some of the work to highlight.