For a minimal example of how to use the environment framework, refer to examples/simple-calculator. For the environment and training data used in our paper, see AgentBench FC. For reproducing the ...
Abstract: Federated learning (FL) enables the collaborative training of deep neural networks across decentralized data archives (i.e., clients) without sharing the local data of the clients. Most of ...
The new reinforcement learning system lets large language models challenge and improve themselves using real-world data instead of curated training sets. Meta researchers have unveiled a new ...
After their most recent cooperative education (co-op) experience, two Drexel University students will never experience museums in the same way — or books, chemistry, paper, light bulbs or Disney World ...
MANILA – President Ferdinand R. Marcos Jr. has signed into law a measure institutionalizing the Lifelong Learning Development Framework (LLDF), in a bid to promote universal literacy and improve ...
How do you convert real agent traces into reinforcement learning RL transitions to improve policy LLMs without changing your existing agent stack? Microsoft AI team releases Agent Lightning to help ...
Tianjin Key Laboratory of Refrigeration Technology, Tianjin University of Commerce, Tianjin 300134, China International Centre in Fundamental and Engineering Thermophysics, Tianjin University of ...
A new framework developed by researchers at Google Cloud and DeepMind aims to address one of the key challenges of developing computer use agents (CUAs): Gathering high-quality training examples at ...
Andrej Karpathy says that reinforcement learning is still terrible but better than all other AI learning approaches. Elon Musk believes there is a 10% chance that XAI Grok 5 can achieve AGI. Musk ...
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