A new study published in Nature Communications provides evidence that the brain chemical dopamine plays a sophisticated, dual ...

An artificial intelligence breakthrough uses reinforcement learning to tackle the Andrews-Curtis conjecture, solving ...

Learning without explicit instructions: Unlike supervised learning, which requires labelled data, reinforcement learning agents can learn autonomously by interacting with their environment and ...

OpenAI o1 is a large language model focused on complex reasoning through reinforcement learning. It outperforms GPT-4o in domains like coding, math, and science by using a chain-of-thought process.

RLVR (Reinforcement Learning with Verifiable Rewards) is widely regarded as a promising approach to enable LLMs to continuously self-improve and acquire novel reasoning capabilities. Researchers ...

As the creators of InstructGPT – one of the first major applications of reinforcement learning with human feedback (RLHF) to train large language models – the two played an important role in ...

Reinforcement learning was perhaps most famously used by Google DeepMind in 2016 to build AlphaGo, a program that learned for itself how to play the incredibly complex and subtle board game Go to ...

The company developed DeepSeek-R1 by using pure reinforcement learning on top of DeepSeek-V3-Base, and matched or beat o1 on some benchmarks.