WARNING: by default all experiments assume a shared policy by all agents i.e. there is one neural network shared by all agents The envs/ subfolder contains environment wrapper implementations for the ...
A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.
Family vacations are thrilling as they bring in new places, stunning views, and memories that count. Nevertheless, every ...
verl is a flexible, efficient and production-ready RL training library for large language models (LLMs). verl is the open-source version of HybridFlow: A Flexible and Efficient RLHF Framework paper.
Chinese robotics firm Unitree has launched what it claims is the world's first robot app store, now in public beta for i ...
Meta’s most popular LLM series is Llama. Llama stands for Large Language Model Meta AI. They are open-source models. Llama 3 was trained with fifteen trillion tokens. It has a context window size of ...
Abstract: Continuous-time reinforcement learning (CT-RL) methods hold great promise in real-world applications. Adaptive dynamic programming (ADP)-based CT-RL algorithms, especially their theoretical ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Abstract: This paper studies how AI-assisted programming and large language models (LLM) improve software developers' ability via AI tools (LLM agents) like Github Copilot and Amazon CodeWhisperer, ...
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