KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty

21 June 2024

Papers citing "KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty"

6 / 6 papers shown

Title
From S4 to Mamba: A Comprehensive Survey on Structured State Space Models Shriyank Somvanshi Md Monzurul Islam Mahmuda Sultana Mimi Sazzad Bin Bashar Polock Gaurab Chhetri Subasish Das Mamba AI4TS 40 0 0 22 Mar 2025
Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability Carlos E. Luis A. Bottero Julia Vinogradska Felix Berkenkamp Jan Peters 76 1 0 20 Feb 2025
Liquid Structural State-Space Models Ramin Hasani Mathias Lechner Tsun-Hsuan Wang Makram Chahine Alexander Amini Daniela Rus AI4TS 95 93 0 26 Sep 2022
Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios Vaisakh Shaj Dieter Buchler Rohit Sonker P. Becker Gerhard Neumann 25 7 0 29 Jun 2022
Temporal Parallelization of Bayesian Smoothers Simo Särkkä Á. F. García-Fernández 104 39 0 30 May 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015