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Maharashtra Chief Minister Devendra Fadnavis on Monday climbed down from his earlier position about teaching Hindi language ...
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.
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Asianet Newsable on MSNMaharashtra makes Hindi compulsory in state board schools from Class 1 alongside Marathi and English under NEP 2020In line with NEP 2020, Maharashtra has made Hindi mandatory from Class 1 in all state board schools, alongside Marathi and ...
Turing’s ideas ultimately led to the development of reinforcement learning, a branch of artificial intelligence. Reinforcement learning designs intelligent agents by training them to maximize rewards ...
Eid-ul-Fitr is celebrated with joy, prayers, and togetherness as it marks the end of Ramadan. The article provides heartfelt Hindi Shayari, poems, and messages to share with loved ones, along with ...
Making decisions is a critical aspect of human behavior. Reinforcement learning has been investigated in decision-making experiments with the goal of deciphering learning and improve our understanding ...
NEW DELHI: The Indian consulate in Jaffna launched a new Hindi language course at the University of Vavuniya on Sunday amid the growing interest in learning Hindi. The initiative, the consulate ...
Figure 02's human-like gait is the product of the company's simulated reinforcement learning system, and is just the beginning of its plans to make its robots perform physical tasks more naturally.
Reinforcement Learning from Verifiable Rewards (RLVR) has recently emerged as a promising method for enhancing reasoning abilities in language models without direct supervision. This approach has ...
Rule-based reinforcement learning (RL) or reinforcement fine-tuning (RFT) is a promising alternative, requiring only dozens to thousands of samples instead of massive datasets. Various approaches have ...
If you find this project useful, welcome to cite us. @article{lu2025ui, title={UI-R1: Enhancing Action Prediction of GUI Agents by Reinforcement Learning}, author={Lu, Zhengxi and Chai, Yuxiang and ...
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