Zobrazeno 1 - 10
of 9 523
pro vyhledávání: '"DONG, Jing"'
To understand the complexity of the dynamic of learning in differential games, we decompose the game into components where the dynamic is well understood. One of the possible tools is Helmholtz's theorem, which can decompose a vector field into a pot
Externí odkaz:
http://arxiv.org/abs/2411.03802
To model complex real-world systems, such as traders in stock markets, or the dissemination of contagious diseases, graphon mean-field games (GMFG) have been proposed to model many agents. Despite the empirical success, our understanding of GMFG is l
Externí odkaz:
http://arxiv.org/abs/2410.08746
Queuing network control determines the allocation of scarce resources to manage congestion, a fundamental problem in manufacturing, communications, and healthcare. Compared to standard RL problems, queueing problems are distinguished by unique challe
Externí odkaz:
http://arxiv.org/abs/2410.06170
Stochastic gradient descent (SGD) is a powerful optimization technique that is particularly useful in online learning scenarios. Its convergence analysis is relatively well understood under the assumption that the data samples are independent and ide
Externí odkaz:
http://arxiv.org/abs/2410.01195
Text-to-image diffusion models have been demonstrated with undesired generation due to unfiltered large-scale training data, such as sexual images and copyrights, necessitating the erasure of undesired concepts. Most existing methods focus on modifyi
Externí odkaz:
http://arxiv.org/abs/2409.17682
Queuing network control is essential for managing congestion in job-processing systems such as service systems, communication networks, and manufacturing processes. Despite growing interest in applying reinforcement learning (RL) techniques, queueing
Externí odkaz:
http://arxiv.org/abs/2409.03740
With the rapid development of generative technologies, AI-Generated Images (AIGIs) have been widely applied in various aspects of daily life. However, due to the immaturity of the technology, the quality of the generated images varies, so it is impor
Externí odkaz:
http://arxiv.org/abs/2408.15098
Talking head synthesis is a practical technique with wide applications. Current Neural Radiance Field (NeRF) based approaches have shown their superiority on driving one-shot talking heads with videos or signals regressed from audio. However, most of
Externí odkaz:
http://arxiv.org/abs/2408.09347
We study the problem of no-regret learning algorithms for general monotone and smooth games and their last-iterate convergence properties. Specifically, we investigate the problem under bandit feedback and strongly uncoupled dynamics, which allows mo
Externí odkaz:
http://arxiv.org/abs/2408.08395
Given the rising popularity of AI-generated art and the associated copyright concerns, identifying whether an artwork was used to train a diffusion model is an important research topic. The work approaches this problem from the membership inference a
Externí odkaz:
http://arxiv.org/abs/2405.20771