James is a published author with multiple pop-history and science books to his name. He specializes in history, space, strange science, and anything out of the ordinary.View full profile James is a ...

We investigate Reinforcement Learning (RL) on data without explicit labels for reasoning tasks in Large Language Models (LLMs). The core challenge of the problem is reward estimation during inference ...

This manuscript describes a potentially important theoretical framework to link predictive coding, error-based learning, and neuronal dynamics. The provided evidence is solid but would be made more ...

Ukrainian artillerymen hold the front line in the Donetsk region amid constant Russian drone attacks. RFE/RL’s Ukrainian Service visited a unit near Soledar that is in constant threat of aerial ...

Prevalent reinforcement learning~(RL) methods for fine-tuning LLM reasoners, such as GRPO or Leave-one-out PPO, abandon the learned value function in favor of empirically estimated returns. This ...

A new technical paper titled “Power Consumption Optimization of GPU Server With Offline Reinforcement Learning” was published by researchers at Korea Advanced Institute of Science and Technology ...

This repo is awesome! Thank you so much for sharing it. I got training running per the readme.md in HomieRL and it looks like the ETA for completion is just over 100 hours (~4 days) for 100k ...

After the transistor came of age, there was still room for the venerable vacuum tube in the burgeoning world of electronics. But even though that world is getting bigger, its parts are getting smaller ...