1 citations · 2 across the 6 of their papers we have counts for
6 papers
Learning-Based Robust Control: Unifying Exploration and Distributional Robustness for Reliable Robotics via Free Energy
Hozefa Jesawada, Giovanni Russo, Abdalla Swikir +1
A key challenge towards reliable robotic control is devising computational models that can both learn policies and guarantee robustness when deployed in the field. Inspired by the…
DR-PETS: Learning-Based Control With Planning in Adversarial Environments
Hozefa Jesawada, Antonio Acernese, Giovanni Russo +1
Ensuring robustness against epistemic, possibly adversarial, perturbations is essential for reliable real-world decision-making. While the Probabilistic Ensembles with Trajectory S…
Distributionally Robust Free Energy Principle for Decision-Making
Allahkaram Shafiei, Hozefa Jesawada, Karl Friston +1
Despite their groundbreaking performance, autonomous agents can misbehave when training and environmental conditions become inconsistent, with minor mismatches leading to undesirab…
On Convex Data-Driven Inverse Optimal Control for Nonlinear, Non-stationary and Stochastic Systems
Emiland Garrabe, Hozefa Jesawada, Carmen Del Vecchio +1
This paper is concerned with a finite-horizon inverse control problem, which has the goal of reconstructing, from observations, the possibly non-convex and non-stationary cost driv…
On a Probabilistic Approach for Inverse Data-Driven Optimal Control
Émiland Garrabé, Hozefa Jesawada, Carmen Del Vecchio +1
We consider the problem of estimating the possibly non-convex cost of an agent by observing its interactions with a nonlinear, non-stationary and stochastic environment. For this i…
A Model-Based Reinforcement Learning Approach for PID Design
Hozefa Jesawada, Amol Yerudkar, Carmen Del Vecchio +1
Proportional-integral-derivative (PID) controller is widely used across various industrial process control applications because of its straightforward implementation. However, it c…