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"

24 / 24 papers shown

Title
Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability Carlos E. Luis A. Bottero Julia Vinogradska Felix Berkenkamp Jan Peters 212 1 0 20 Feb 2025
Deep Latent State Space Models for Time-Series Generation Linqi Zhou Michael Poli Winnie Xu Stefano Massaroli Stefano Ermon BDL AI4TS 62 35 0 24 Dec 2022
On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning P. Becker Gerhard Neumann 47 9 0 17 Oct 2022
Liquid Structural State-Space Models Ramin Hasani Mathias Lechner Tsun-Hsuan Wang Makram Chahine Alexander Amini Daniela Rus AI4TS 136 101 0 26 Sep 2022
DayDreamer: World Models for Physical Robot Learning Philipp Wu Alejandro Escontrela Danijar Hafner Ken Goldberg Pieter Abbeel 102 294 0 28 Jun 2022
Diagonal State Spaces are as Effective as Structured State Spaces Ankit Gupta Albert Gu Jonathan Berant 111 305 0 27 Mar 2022
Learning Representations for Pixel-based Control: What Matters and Why? Manan Tomar Utkarsh Aashu Mishra Amy Zhang Matthew E. Taylor SSL OffRL 58 25 0 15 Nov 2021
Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning Vaisakh Shaj P. Becker Le Chen Harit Pandya Niels van Duijkeren C. J. Taylor Marc Hanheide Gerhard Neumann AI4CE 36 15 0 20 Oct 2020
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 95 852 0 05 Oct 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 493 42,407 0 03 Dec 2019
Dream to Control: Learning Behaviors by Latent Imagination Danijar Hafner Timothy Lillicrap Jimmy Ba Mohammad Norouzi VLM 113 1,354 0 03 Dec 2019
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model Alex X. Lee Anusha Nagabandi Pieter Abbeel Sergey Levine OffRL BDL 80 380 0 01 Jul 2019
Temporal Parallelization of Bayesian Smoothers Simo Särkkä Á. F. García-Fernández 161 41 0 30 May 2019
Switching Linear Dynamics for Variational Bayes Filtering Philip Becker-Ehmck Jan Peters Patrick van der Smagt BDL 55 46 0 29 May 2019
Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces P. Becker Harit Pandya Gregor H. W. Gebhardt Cheng Zhao James Taylor Gerhard Neumann BDL 58 97 0 17 May 2019
Soft Actor-Critic Algorithms and Applications Tuomas Haarnoja Aurick Zhou Kristian Hartikainen George Tucker Sehoon Ha ... Vikash Kumar Henry Zhu Abhishek Gupta Pieter Abbeel Sergey Levine 133 2,425 0 13 Dec 2018
Learning Latent Dynamics for Planning from Pixels Danijar Hafner Timothy Lillicrap Ian S. Fischer Ruben Villegas David R Ha Honglak Lee James Davidson BDL 86 1,436 0 12 Nov 2018
World Models David R Ha Jürgen Schmidhuber SyDa 119 1,083 0 27 Mar 2018
Disentangled Sequential Autoencoder Yingzhen Li Stephan Mandt CoGe 71 271 0 08 Mar 2018
DeepMind Control Suite Yuval Tassa Yotam Doron Alistair Muldal Tom Erez Yazhe Li ... A. Abdolmaleki J. Merel Andrew Lefrancq Timothy Lillicrap Martin Riedmiller ELM LM&Ro BDL 133 1,134 0 02 Jan 2018
Robust Locally-Linear Controllable Embedding Ershad Banijamali Rui Shu Mohammad Ghavamzadeh Hung Bui A. Ghodsi BDL 54 95 0 15 Oct 2017
Variational Sequential Monte Carlo C. A. Naesseth Scott W. Linderman Rajesh Ranganath David M. Blei BDL 256 214 0 31 May 2017
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches Kyunghyun Cho B. V. Merrienboer Dzmitry Bahdanau Yoshua Bengio AI4CE AIMat 242 6,776 0 03 Sep 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 450 16,933 0 20 Dec 2013