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Found 3 papers, 1 papers with code
On Solving Close Enough Orienteering Problems with Overlapped Neighborhoods
To tackle CEOP and CEOP-N, we develop a new approach featuring a Randomized Steiner Zone Discretization (RSZD) scheme coupled with a hybrid algorithm based on Particle Swarm Optimization (PSO) and Ant Colony System (ACS), CRaSZe-AntS.
Safe Reinforcement Learning as Wasserstein Variational Inference: Formal Methods for Interpretability
Reinforcement learning can provide effective reasoning for sequential decision-making problems with variable dynamics.
Interpretable Stochastic Model Predictive Control using Distributional Reinforced Estimation for Quadrotor Tracking Systems
The proposed framework integrates a distributional Reinforcement Learning (RL) estimator for unknown aerodynamic effects into a Stochastic Model Predictive Controller (SMPC) for trajectory tracking.
Distributional Reinforcement Learning
Model Predictive Control
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