Search Results for author:
Found 6 papers, 3 papers with code
ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text Translation
Joint speech-language training is challenging due to the large demand for training data and GPU consumption, as well as the modality gap between speech and language.
On Realization of Intelligent Decision-Making in the Real World: A Foundation Decision Model Perspective
The pervasive uncertainty and dynamic nature of real-world environments present significant challenges for the widespread implementation of machine-driven Intelligent Decision-Making (IDM) systems.
A Perceptually Optimized and Self-Calibrated Tone Mapping Operator
In Stage two, the input HDR image is self-calibrated to compute the final LDR image.
Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks
In this paper, we facilitate the research by providing large-scale datasets, and use them to examine the usage of the Decision Transformer in the context of MARL.
Offline Pre-trained Multi-Agent Decision Transformer
Offline reinforcement learning leverages static datasets to learn optimal policies with no necessity to access the environment.
Multi-agent Reinforcement Learning
reinforcement-learning
+2
Perceptually Optimized Deep High-Dynamic-Range Image Tone Mapping
We describe a deep high-dynamic-range (HDR) image tone mapping operator that is computationally efficient and perceptually optimized.
