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Found 4 papers, 1 papers with code
Preference Alignment with Flow Matching
We present Preference Flow Matching (PFM), a new framework for preference-based reinforcement learning (PbRL) that streamlines the integration of preferences into an arbitrary class of pre-trained models.
Restoration of Hand-Drawn Architectural Drawings Using Latent Space Mapping With Degradation Generator
This work presents the restoration of drawings of wooden built heritage.
The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions
This challenge, on the other hand, is interested in the exploration capability of MARL algorithms to efficiently learn implicit multi-stage tasks and environmental factors as well as micro-control.
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Deep Learning on Key Performance Indicators for Predictive Maintenance in SAP HANA
The experimental results with real-world data confirm the effectiveness of the system and models.
