10 citations · 62 across the 22 of their papers we have counts for
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stat.ML2021
Markov Modeling of Time-Series Data using Symbolic Analysis
Devesh K. Jha
Markov models are often used to capture the temporal patterns of sequential data for statistical learning applications. While the Hidden Markov modeling-based learning mechanisms a…
stat.ML2019
Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning
Kei Ota, Devesh K. Jha, Tomoaki Oiki +4
In this paper, we propose a reinforcement learning-based algorithm for trajectory optimization for constrained dynamical systems. This problem is motivated by the fact that for mos…
stat.ML2017
Symbolic Analysis-based Reduced Order Markov Modeling of Time Series Data
Devesh K Jha, Nurali Virani, Jan Reimann +2
This paper presents a technique for reduced-order Markov modeling for compact representation of time-series data. In this work, symbolic dynamics-based tools have been used to infe…