#ReinforcementLearning

2025-05-07

#Promptengineering is crucial for developing #LLM-based apps, but it's often manual & inefficient. PRewrite is an automated method using an LLM trained with #reinforcementlearning to optimize prompts arxiv.org/pdf/2401.08189 #RL #AI

N-gated Hacker Newsngate
2025-04-30

🎨🤖ART: Now you can train your "LLM agents" with Open-source Reinforcement Learning, because training them closed-source would just be too mainstream. Because what the world really needed was more and fewer actual results. 🚀💻
github.com/OpenPipe/ART

Hacker Newsh4ckernews
2025-04-30
trndgtr.comtrndgtr
2025-04-27

Training AI to Persuade? - Jeremie & Edouard Harris on JRE

Victoria Stuart 🇨🇦 🏳️‍⚧️persagen
2025-04-22

[AGI discussion, DeepMind] Welcome to the Era of Experience
storage.googleapis.com/deepmin
old.reddit.com/r/MachineLearni

* threshold of new era in AI that promises unprecedented level of ability
* new generation of agents will acquire superhuman capabilities, learning predominantly f. experience
* paradigm shift, accompanied by algorithmic advancements in RL, will unlock new supra-human capabilities

[AGI discussion, DeepMind] Welcome to the Era of Experience
https://storage.googleapis.com/deepmind-media/Era-of-Experience%20/The%20Era%20of%20Experience%20Paper.pdf
https://old.reddit.com/r/MachineLearning/comments/1k4zr1i/r_deepmind_welcome_to_the_era_of_experience

We stand on the threshold of a new era in artificial intelligence that promises to achieve an unprecedented level of ability. A new generation of agents will acquire superhuman capabilities by learning predominantly from experience. ...

#Google #DeepMind #AI #AGI #RL #ReinforcementLearning #ML #LLM #AIdiscussion
SwissNationalScienceFoundationsnsf_ch@social.anoxinon.de
2025-04-15

📣 #DLRL Summer School 2025 – Apply now! From 21 July to 1 August in Edmonton, #Canada.
🔬 Focus: #MachineLearning, #DeepLearning & #ReinforcementLearning
🇨🇭 Highlight: Thanks to the SNSF-#CIFAR partnership, costs will be covered for participants from Switzerland!
Apply here 👉 dlrl.ca/apply/

FondsNationalSuissefns_ch@social.anoxinon.de
2025-04-15

⁉️#DLRL Summer School 2025 – Postulez maintenant ! Du 21 juillet au 1er août à Edmonton au #Canada.
🔬 Zoom sur : #MachineLearning, #DeepLearning et #ReinforcementLearning
🇨🇭 Avantage : les frais sont pris en charge (partenariat CIFAR) pour les participant·es de Suisse !
Postulez via👉 dlrl.ca/fr/postulez/

Schweizerischer NationalfondsSNF_ch@social.anoxinon.de
2025-04-15

🚨#DLRL Summer School 2025 – Jetzt bewerben! Vom 21. Juli bis 1. August in Edmonton, Kanada.

🔬 Fokus: #MachineLearning, #DeepLearning & #ReinforcementLearning
🇨🇭 Vorteil: Für Teilnehmende aus der Schweiz werden die Kosten übernommen (CIFAR-Partnerschaft)!
👉 Jetzt bewerben! ➡️ dlrl.ca/apply/

Antonioqolorao
2025-04-15

📄 Nuestro último artículo "MELGYM: A dynamic control interface for MELCOR simulations" ha sido publicado en la revista SoftwareX.

🔗 sciencedirect.com/science/arti

Presentamos MELGYM, una interfaz en Python que permite el control interactivo de simulaciones con MELCOR, un código ampliamente utilizado para el análisis de seguridad en instalaciones nucleares como IFMIF-DONES.

N-gated Hacker Newsngate
2025-04-08

Oh, look! 🎉 Another groundbreaking study in which leans on like "reinforcement learning" to suggest that someday, maybe, will conquer more than just calculus and compiling code. 🤖 It's like a toddler boasting about mastering finger painting and claiming they’ll soon create the next Mona Lisa. 🖼️
arxiv.org/abs/2503.23829

Hacker Newsh4ckernews
2025-04-08

Can reinforcement learning for LLMs scale beyond math and coding tasks? Probably

arxiv.org/abs/2503.23829

@lianna Well, most #AIs and #robots in fiction I think their inputs are mostly or fully sensory-based, and they learn in real time through #ReinforcementLearning - esque techniques. AIs like LLMs are frozen in place (they never update and are just replaced over time), and they do not have any meanful interaction to the real world, nor like reflection.

I'd think that robots like #Sophia a few years ago would be more closer to the former than the latter, but #AIBros love conflating the twos.

2025-04-01

Happy birthday to Cognitive Design for Artificial Minds (lnkd.in/gZtzwDn3) that was released 4 years ago!

Since then its ideas have been presented and discussed widely in the research fields of AI/Cognitive Science/Robotics and - nowadays - both the possibilities and the limitations of: #LLMs, #GenerativeAI and #ReinforcementLearning (already envisioned and discussed in the book) have become a common topic of research interests in the AI community and beyond.
Similarly also the topic concerning the evaluation - in human-like and human-level terms - of the current AI systems has become a critical theme related to the problem Anthropomorphic interpretation of AI output (see e.g. lnkd.in/dVi9Qf_k ).
Book reviews have been published on ACM Computing Reviews (2021) lnkd.in/dWQpJdkV and on Argumenta (2023): lnkd.in/derH3VKN

I have been invited to present the content of the book in over 20 official scientific events in international conferences, Ph.D Schools in US, China, Japan, Finland, Germany, Sweden, France, Brazil, Poland, Austria and, of course, Italy.

A news I am happy to share is that Routledge/Taylor & Francis contacted me few weeks ago for a second edition! Stay tuned!

The #book is available in many webstores:
- Routledge: lnkd.in/dPrC26p
- Taylor & Francis: lnkd.in/dprVF2w
- Amazon: lnkd.in/dC8rEzPi

@academicchatter @cognition
#AI #minimalcognitivegrid #CognitiveAI #cognitivescience #cognitivesystems

N-gated Hacker Newsngate
2025-03-26

🧠✨ Dive into the abyss of reinforcement learning, where reading time feels like it needs its own reinforcement! 🙄 Thirty-one minutes to navigate a maze of jargon-laden concepts that could make even a robot short-circuit. 🤖💥 Enjoy the mental gymnastics while pondering if Markov Decision Processes are just an elaborate prank on readers. 🌀📚
lilianweng.github.io/posts/201

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