A bundle framework for observer design on smooth manifolds with symmetry. - Anant A. Joshi; D. H. Sanjeeva Maithripala; Ravi N. Banavar (CoRR, 2019)

Uncertainty Quantification And Analysis Of Dynamical Systems With Invariants. - Anant A. Joshi; Kamesh Subbarao (CoRR, 2019)

Modification of Hilbert's Space-Filling Curve to Avoid Obstacles: A Robotic Path-Planning Strategy. - Anant A. Joshi; Maulik C. Bhatt; Arpita Sinha (CoRR, 2019)

Ensemble Kalman Filter (EnKF) for Reinforcement Learning (RL). - Anant A. Joshi; Amirhossein Taghvaei; Prashant G. Mehta (CoRR, 2021)

Controlled interacting particle algorithms for simulation-based reinforcement learning. - Anant A. Joshi; Amirhossein Taghvaei; Prashant G. Mehta; Sean P. Meyn (Syst. Control. Lett., 2022)

Robust Discrete-Time Pontryagin Maximum Principle on Matrix Lie Groups. - Anant A. Joshi; Debasish Chatterjee; Ravi N. Banavar (IEEE Trans. Autom. Control., 2022)

Dual Ensemble Kalman Filter for Stochastic Optimal Control. - Anant A. Joshi; Amirhossein Taghvaei; Prashant G. Mehta; Sean P. Meyn (CDC, 2024)

Backward Map for Filter Stability Analysis. - Jin-Won Kim; Anant A. Joshi; Prashant G. Mehta (CDC, 2024)

Design of Interacting Particle Systems for Fast and Efficient Reinforcement Learning. - Anant A. Joshi; Heng-Sheng Chang; Amirhossein Taghvaei; Prashant G. Mehta; Sean P. Meyn (CoRR, 2024)

Towards Provable Log Density Policy Gradient. - Pulkit Katdare; Anant A. Joshi; Katherine Rose Driggs-Campbell (Trans. Mach. Learn. Res., 2024)

Interacting Particle Systems for Fast Linear Quadratic RL. - Anant A. Joshi; Heng-Sheng Chang; Amirhossein Taghvaei; Prashant G. Mehta; Sean P. Meyn (L4DC, 2025)

Error Analysis of Sampling Algorithms for Approximating Stochastic Optimal Control. - Anant A. Joshi; Amirhossein Taghvaei; Prashant G. Mehta (CoRR, 2025)