World Models

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One Lens, Many Worlds : A Capability-Typed Interface for World-Model Interpretability

 🎮RL  Content type: Academic
arxiv.org·

How to Implement a Model-Free RL Algorithm: A Step-by-Step Guide

 🎮RL  Content type: Blog
Less-relevant results

Reinforcement Learning and Optimal Control Book (RIP Dimitri Bertsekas)

 🎮RL  Content type: Academic
web.mit.edu··Hacker News

Q-Learning (Reinforcement learning): Bellman Equation, Markov Decision Processes, Q-Values, and…

 🎮RL  Content type: Blog
medium.com
·

Core Automation co-founder Jerry Tworek jokes that Nvidia's CUDA translates to miracles in Polish

 🎯Post-training
digg.com·

Reinforcement-learning signals support dynamic adaptive control during language switching

 🎮RL  Content type: Academic
nature.com·

Agents Need Work Data: A Primer on RLWD, or Reinforcement Learning on Work Data

 🤖AI Agents

Time-slip in AI sepsis models may inflate results, risking under- or overtreatment

 🎮RL
medicalxpress.com·

Researchers develop AI-powered railway control system for efficient urban train operation

 🎮RL
techxplore.com·

Reasoning RL in 2026: GRPO, DPO, RLVR, Agentic PO & Beyond

 🎯Post-training
turingpost.com·

Some Interesting Papers on RLVR

 🎯Post-training
lesswrong.com·

Microsoft just shared the frontier data engineering secrets

 💬LLMs
mail.bycloud.ai·

World Model Self-Distillation: Training World Models to Solve General Tasks

 🎯Post-training  Content type: Academic
arxiv.org·

Scale Robot Reinforcement Learning with NVIDIA Isaac Lab on Amazon SageMaker AI

 🎮RL  Content type: Blog
aws.amazon.com·

Memoirs of a Learning Machine: Autobiographical Self-Training and the Self-Training Gap

 🏋️Pretraining
zenodo.org··Hacker News

Bridging Multi-Vector and Learned-Sparse Retrieval, A Diagnostic Framework for Robust Semantic IDs, and More!

 💬LLMs  Content type: News  Content type: Blog

PLUME: Probabilistic Latent Unified World Modeling and Parameter Estimation for Multi-Finger Manipulation

 🎮RL  Content type: Academic
arxiv.org·

NAVER Expands AI Infrastructure With NVIDIA to Serve Surging Global AI Demand

 🏋️Pretraining
nvidianews.nvidia.com·

Comp.compilers: Paper: MileStone: A Multi-Objective Compiler Phase Ordering Framework for Graph-based IR-Level Optimization

 🎯Post-training
compilers.iecc.com·

Edge AI enabled MIMO MC-CDMA for 6G optimizing spectrum and energy efficiency with SIC and deep reinforcement learning

 🎮RL  Content type: Academic
nature.com·

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