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Found 7 papers, 2 papers with code
Non-ergodicity in reinforcement learning: robustness via ergodicity transformations
The expected value is the average over the statistical ensemble of infinitely many trajectories.
Distinguishing Risk Preferences using Repeated Gambles
Sequences of repeated gambles provide an experimental tool to characterize the risk preferences of humans or artificial decision-making agents.
Forecasting new diseases in low-data settings using transfer learning
Recent infectious disease outbreaks, such as the COVID-19 pandemic and the Zika epidemic in Brazil, have demonstrated both the importance and difficulty of accurately forecasting novel infectious diseases.
Dynamic and interpretable hazard-based models of traffic incident durations
For our use case, we take one year of incident data and traffic state time-series from the M25 motorway in London.
Survival Analysis
Time Series Analysis
Applications
Narrative structure of A Song of Ice and Fire creates a fictional world with realistic measures of social complexity
By tracking the network of character interactions as the story unfolds, it is found that structural properties remain approximately stable and comparable to real-world social networks.
Physics and Society
Assessment of Reward Functions in Reinforcement Learning for Multi-Modal Urban Traffic Control under Real-World limitations
We use a calibrated model in terms of demand, sensors, green times and other operational constraints of a real intersection in Greater Manchester, UK.
Assessment of Reward Functions for Reinforcement Learning Traffic Signal Control under Real-World Limitations
Adaptive traffic signal control is one key avenue for mitigating the growing consequences of traffic congestion.
