Wasserstein Distance-based Expansion of Low-Density Latent Regions for Unknown Class Detection

1 code implementation • 10 Jan 2024 • Prakash Mallick, Feras Dayoub, Jamie Sherrah

We present a novel approach that effectively identifies unknown objects by distinguishing between high and low-density regions in latent space.

Metric Learning Novelty Detection +2

Dynamic Programming-based Approximate Optimal Control for Model-Based Reinforcement Learning

no code implementations • 22 Dec 2023 • Prakash Mallick, Zhiyong Chen

This article proposes an improved trajectory optimization approach for stochastic optimal control of dynamical systems affected by measurement noise by combining optimal control with maximum likelihood techniques to improve the reduction of the cumulative cost-to-go.

Model-based Reinforcement Learning reinforcement-learning

Stochastic Optimal Control for Multivariable Dynamical Systems Using Expectation Maximization

no code implementations • 1 Oct 2020 • Prakash Mallick, Zhiyong Chen

Trajectory optimization is a fundamental stochastic optimal control problem.