QMDP-Net: Deep Learning for Planning under Partial Observability

20 March 2017

Papers citing "QMDP-Net: Deep Learning for Planning under Partial Observability"

24 / 24 papers shown

Title
ToMCAT: Theory-of-Mind for Cooperative Agents in Teams via Multiagent Diffusion Policies Pedro Sequeira Vidyasagar Sadhu Melinda Gervasio DiffM 84 0 0 25 Feb 2025
Learning Online Belief Prediction for Efficient POMDP Planning in Autonomous Driving Zhiyu Huang Chen Tang Chen Lv Masayoshi Tomizuka Wei Zhan 32 5 0 27 Jan 2024
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles Peter Karkus B. Ivanovic Shie Mannor Marco Pavone 23 45 0 13 Dec 2022
Private Multiparty Perception for Navigation Hui Lu Mia Chiquier Carl Vondrick EgoV 25 0 0 02 Dec 2022
Data-driven End-to-end Learning of Pole Placement Control for Nonlinear Dynamics via Koopman Invariant Subspaces Tomoharu Iwata Yoshinobu Kawahara 11 3 0 16 Aug 2022
Recurrent networks, hidden states and beliefs in partially observable environments Gaspard Lambrechts Adrien Bolland D. Ernst 8 12 0 06 Aug 2022
Task Allocation with Load Management in Multi-Agent Teams Haochen Wu Amin Ghadami A. E. Bayrak J. Smereka B. Epureanu 19 8 0 17 Jul 2022
Integrating Symmetry into Differentiable Planning with Steerable Convolutions Linfeng Zhao Xu Zhu Lingzhi Kong Robin G. Walters Lawson L. S. Wong 20 7 0 08 Jun 2022
Compositional Learning-based Planning for Vision POMDPs Sampada Deglurkar M. H. Lim Johnathan Tucker Zachary Sunberg Aleksandra Faust Claire Tomlin 35 4 0 17 Dec 2021
Cut the CARP: Fishing for zero-shot story evaluation Shahbuland Matiana J. Smith Ryan Teehan Louis Castricato Stella Biderman Leo Gao Spencer Frazier 47 16 0 06 Oct 2021
High-Speed Robot Navigation using Predicted Occupancy Maps Kapil D. Katyal A. Polevoy Joseph L. Moore Craig Knuth K. Popek 22 24 0 22 Dec 2020
MELD: Meta-Reinforcement Learning from Images via Latent State Models Tony Zhao Anusha Nagabandi Kate Rakelly Chelsea Finn Sergey Levine OffRL 6 36 0 26 Oct 2020
Learning to plan with uncertain topological maps E. Beeching J. Dibangoye Olivier Simonin Christian Wolf 19 40 0 10 Jul 2020
When is Particle Filtering Efficient for Planning in Partially Observed Linear Dynamical Systems? S. Du Wei Hu Zhiyuan Li Ruoqi Shen Zhao-quan Song Jiajun Wu 28 1 0 10 Jun 2020
Transferable Task Execution from Pixels through Deep Planning Domain Learning Kei Kase Chris Paxton H. Mazhar T. Ogata D. Fox 139 45 0 08 Mar 2020
POPCORN: Partially Observed Prediction COnstrained ReiNforcement Learning Joseph D. Futoma M. C. Hughes Finale Doshi-Velez OffRL 10 49 0 13 Jan 2020
Towards Learning Abstract Representations for Locomotion Planning in High-dimensional State Spaces Tobias Klamt Sven Behnke 11 10 0 06 Mar 2019
Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees Binghong Chen Bo Dai Qinjie Lin Guo Ye Han Liu Le Song 18 51 0 28 Feb 2019
Policy Design for Active Sequential Hypothesis Testing using Deep Learning D. Kartik Ekraam Sabir U. Mitra Premkumar Natarajan 22 18 0 11 Oct 2018
Gated Path Planning Networks Lisa Lee Emilio Parisotto Devendra Singh Chaplot Eric P. Xing Ruslan Salakhutdinov 24 81 0 17 Jun 2018
Deep Variational Reinforcement Learning for POMDPs Maximilian Igl L. Zintgraf T. Le Frank D. Wood Shimon Whiteson BDL OffRL 11 258 0 06 Jun 2018
Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors Rico Jonschkowski Divyam Rastogi Oliver Brock 16 135 0 28 May 2018
Data-driven Planning via Imitation Learning Sanjiban Choudhury M. Bhardwaj S. Arora Ashish Kapoor G. Ranade S. Scherer Debadeepta Dey 41 80 0 17 Nov 2017
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 230 7,903 0 13 Jun 2015