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Found 4 papers, 2 papers with code
Using Experience Classification for Training Non-Markovian Tasks
Unlike the standard Reinforcement Learning (RL) model, many real-world tasks are non-Markovian, whose rewards are predicated on state history rather than solely on the current state.
From General to Specific: Informative Scene Graph Generation via Balance Adjustment
The scene graph generation (SGG) task aims to detect visual relationship triplets, i. e., subject, predicate, object, in an image, providing a structural vision layout for scene understanding.
Scalable Memory Protection in the PENGLAI Enclave
Upon these two primitives, our system can scale to thousands of concurrent enclaves with high resource utilization and eliminate the high-cost initialization of secure memory using fork-style enclave creation without weakening the security guarantees.
A Syllable-Structured, Contextually-Based Conditionally Generation of Chinese Lyrics
This paper presents a novel, syllable-structured Chinese lyrics generation model given a piece of original melody.
