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Found 5 papers, 1 papers with code
Unsupervised Attributed Dynamic Network Embedding with Stability Guarantees
Stability for dynamic network embeddings ensures that nodes behaving the same at different times receive the same embedding, allowing comparison of nodes in the network across time.
EarthquakeNPP: Benchmark Datasets for Earthquake Forecasting with Neural Point Processes
However, the currently-used benchmark dataset for NPPs does not represent an up-to-date challenge in the seismological community since it lacks a key earthquake sequence from the region and improperly splits training and testing data.
Merging Decision Transformers: Weight Averaging for Forming Multi-Task Policies
Recent work has shown the promise of creating generalist, transformer-based, models for language, vision, and sequential decision-making problems.
Co-learning Planning and Control Policies Constrained by Differentiable Logic Specifications
Synthesizing planning and control policies in robotics is a fundamental task, further complicated by factors such as complex logic specifications and high-dimensional robot dynamics.
Hierarchical Reinforcement Learning
reinforcement-learning
+3
