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Found 3 papers, 1 papers with code
GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks
Large language models (LLMs) like ChatGPT, exhibit powerful zero-shot and instruction-following capabilities, have catalyzed a revolutionary transformation across diverse fields, especially for open-ended tasks.
Estimating Coronal Mass Ejection Mass and Kinetic Energy by Fusion of Multiple Deep-learning Models
In this paper, we propose a new method, called DeepCME, to estimate two properties of CMEs, namely, CME mass and kinetic energy.
Experience Augmentation: Boosting and Accelerating Off-Policy Multi-Agent Reinforcement Learning
We demonstrate our approach by combining it with MADDPG and verifing the performance in two homogeneous and one heterogeneous environments.
Multi-agent Reinforcement Learning
reinforcement-learning
+1
