While originally developed for continuous control problems, Proximal Policy Optimization (PPO) has emerged as the work-horse of a variety of reinforcement learning (RL) applications, including the fine-tuning of generative models. Unfortunately, PPO requires multiple heuristics to enable stable convergence (e.g.

Another challenge ishowtoefficiently learn the semantic parser from denotations.

In this work, we conduct a comprehensive study of NetHack and examine various learning mechanisms to enhance the performance of neural models.

Rubio says US and Europe'belong together' despite tensions Marco Rubio has assured European leaders the US does not plan to abandon the transatlantic alliance, saying its destiny will always be intertwined with the continent's. The US secretary of state told the Munich Security Conference: We do not seek to separate, but to revitalise an old friendship and renew the greatest civilisation in human history. He criticised European immigration, trade and climate policies, but the overall tenor of the closely-watched speech was markedly different to Vice-President JD Vance's at the same event last year, during which he scolded continental leaders. European Commission President Ursula von der Leyen said she was very much reassured by Rubio's remarks. Rubio, the Trump administration's most senior diplomat, said it was neither our goal nor our wish to end the transatlantic partnership, adding: For us Americans, our home may be in the Western Hemisphere, but we will always be a child of Europe.

Multimodal image fusion and object detection are crucial for autonomous driving. While current methods have advanced the fusion of texture details and semantic information, their complex training processes hinder broader applications. Addressing this challenge, we introduce E2E-MFD, a novel end-to-end algorithm for multimodal fusion detection.

Neural Information Processing Systems http://nips.cc/

Neural Information Processing Systems http://nips.cc/