🤖 RL

Reinforcement learning, RL, robotics, mjx, mujoco, mels

The Complexity Cliff: Why Reasoning Models Work Right Up Until They Don't
rewire.it·7h·
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LazyLLM, Easiest and laziest way for building multi-agent LLMs applications
github.com·7h·
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I Taught an AI to Dream
blog.minibase.ai·1d·
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The AI development trap that wastes your time
suchdevblog.com·17h·
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A Challenge to Roboticists: My Humanoid Olympics
spectrum.ieee.org·1d·
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Teaching robots to map large environments
news.mit.edu·15h·
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Up and Down the Ladder of Abstraction
worrydream.com·21h·
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Topographical sparse mapping: A training framework for deep learning models
sciencedirect.com·1d·
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Building Real-Time ML Feature Pipelines with Streaming SQL
timeplus.com·13h·
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GEN-0: SoTA 10B+ Foundation Model for Robotics with Harmonic Reasoning
generalistai.com·1d·
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Why your AI evals keep breaking
atla-ai.com·1d·
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Composing and Decomposing AI Functions (Tutorial with Python Examples)
lightcapai.medium.com·14h·
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Making Conway's Game of Life Playable
blog.unsupervision.com·6h·
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Writing an LLM from scratch, part 27 – what's left, and what's next?
gilesthomas.com·2d·
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Knife Juggling: How We're Building a New Free AI Normal
cto.new·14h·
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Petri Dish Neural Cellular Automata
pub.sakana.ai·1d·
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Continuous Autoregressive Language Models
shaochenze.github.io·1d·
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Choosing the best AI coding agent for Bitrise
bitrise.io·1d·
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Changing the AI narrative from liberation to acceleration
idratherbewriting.com·11h·
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The future of LLMs: cognitive core and cartridges?
killerstorm.github.io·9h·
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