4 papers
Wasserstein Distance-based Expansion of Low-Density Latent Regions for Unknown Class Detection
Prakash Mallick, Feras Dayoub, Jamie Sherrah
This paper addresses the significant challenge in open-set object detection (OSOD): the tendency of state-of-the-art detectors to erroneously classify unknown objects as known cate…
Dynamic Programming-based Approximate Optimal Control for Model-Based Reinforcement Learning
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 wi…
Reinforcement Learning Using Expectation Maximization Based Guided Policy Search for Stochastic Dynamics
Prakash Mallick, Zhiyong Chen, Mohsen Zamani
Guided policy search algorithms have been proven to work with incredible accuracy for not only controlling a complicated dynamical system, but also learning optimal policies from v…
Stochastic Optimal Control for Multivariable Dynamical Systems Using Expectation Maximization
Prakash Mallick, Zhiyong Chen
Trajectory optimization is a fundamental stochastic optimal control problem. This paper deals with a trajectory optimization approach for dynamical systems subject to measurement n…