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Anant A. Joshi
Person information
- affiliation: University of Illinois at Urbana-Champaign, Department of Mechanical Science and Engineering, IL, USA
- affiliation (former): Indian Institute of Technology Bombay, Department of Mechanical Engineering, Mumbai, India
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2020 – today
- 2025
[c6]Anant A. Joshi, Amirhossein Taghvaei, Prashant G. Mehta:
Error Analysis of Sampling Algorithms for Approximating Stochastic Optimal Control. CDC 2025: 345-350
[c5]Anant A. Joshi, Saviz Mowlavi, Mouhacine Benosman:
A Dual Ensemble Kalman Filter Approach to Robust Control of Nonlinear Systems: An Application to Partial Differential Equations. CDC 2025: 2977-2982
[c4]Anant A. Joshi, Heng-Sheng Chang, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn:
Interacting Particle Systems for Fast Linear Quadratic RL. L4DC 2025: 99-111
[i9]Anant A. Joshi, Amirhossein Taghvaei, Prashant G. Mehta:
Error Analysis of Sampling Algorithms for Approximating Stochastic Optimal Control. CoRR abs/2504.02198 (2025)
[i8]Anant A. Joshi, Saviz Mowlavi, Mouhacine Benosman:
A Dual Ensemble Kalman Filter Approach to Robust Control of Nonlinear Systems: An Application to Partial Differential Equations. CoRR abs/2508.21684 (2025)- 2024
[j3]Pulkit Katdare, Anant A. Joshi, Katherine Rose Driggs-Campbell:
Towards Provable Log Density Policy Gradient. Trans. Mach. Learn. Res. 2024 (2024)
[c3]Anant A. Joshi, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn:
Dual Ensemble Kalman Filter for Stochastic Optimal Control. CDC 2024: 1917-1922
[c2]Jin-Won Kim, Anant A. Joshi, Prashant G. Mehta:
Backward Map for Filter Stability Analysis. CDC 2024: 4070-4077
[i7]Pulkit Katdare, Anant A. Joshi, Katherine Rose Driggs-Campbell:
Towards Provable Log Density Policy Gradient. CoRR abs/2403.01605 (2024)
[i6]Anant A. Joshi, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn:
Dual Ensemble Kalman Filter for Stochastic Optimal Control. CoRR abs/2404.06696 (2024)
[i5]Anant A. Joshi, Heng-Sheng Chang, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn:
Design of Interacting Particle Systems for Fast and Efficient Reinforcement Learning. CoRR abs/2406.11057 (2024)- 2022
[j2]Anant A. Joshi, Amirhossein Taghvaei
, Prashant G. Mehta
, Sean P. Meyn:
Controlled interacting particle algorithms for simulation-based reinforcement learning. Syst. Control. Lett. 170: 105392 (2022)
[j1]Anant A. Joshi
, Debasish Chatterjee
, Ravi N. Banavar
:
Robust Discrete-Time Pontryagin Maximum Principle on Matrix Lie Groups. IEEE Trans. Autom. Control. 67(7): 3545-3552 (2022)- 2021
[i4]Anant A. Joshi, Amirhossein Taghvaei, Prashant G. Mehta:
Ensemble Kalman Filter (EnKF) for Reinforcement Learning (RL). CoRR abs/2107.01244 (2021)- 2020
[c1]Anant A. Joshi, Debasish Chatterjee, Ravi N. Banavar
:
Robust Discrete-Time Pontryagin Maximum Principle on Matrix Lie Groups. CDC 2020: 1086-1091
2010 – 2019
- 2019
[i3]Anant A. Joshi, D. H. Sanjeeva Maithripala, Ravi N. Banavar:
A bundle framework for observer design on smooth manifolds with symmetry. CoRR abs/1907.09234 (2019)
[i2]Anant A. Joshi, Kamesh Subbarao:
Uncertainty Quantification And Analysis Of Dynamical Systems With Invariants. CoRR abs/1909.03265 (2019)
[i1]Anant A. Joshi, Maulik C. Bhatt, Arpita Sinha:
Modification of Hilbert's Space-Filling Curve to Avoid Obstacles: A Robotic Path-Planning Strategy. CoRR abs/1910.03210 (2019)
Coauthor Index

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