Continuous-time multi-agent crowd simulation engine implemented in Python using Numba and Numpy for performance.
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Updated
Dec 27, 2022 - Python
Continuous-time multi-agent crowd simulation engine implemented in Python using Numba and Numpy for performance.
PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series".
Neural Laplace Control for Continuous-time Delayed Systems - an offline RL method combining Neural Laplace dynamics model and MPC planner to achieve near-expert policy performance in environments with irregular time intervals and an unknown constant delay.
A framework for hierarchical modelling, simulation and analysis of dynamic systems
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