Recurrent networks, hidden states and beliefs in partially observable environments

6 August 2022

Papers citing "Recurrent networks, hidden states and beliefs in partially observable environments"

6 / 6 papers shown

Title
Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Rudolf Reiter Jasper Hoffmann D. Reinhardt Florian Messerer Katrin Baumgärtner Shamburaj Sawant Joschka Boedecker Moritz Diehl S. Gros 79 5 0 04 Feb 2025
Pessimistic Iterative Planning for Robust POMDPs Maris F. L. Galesloot Marnix Suilen T. D. Simão Steven Carr M. Spaan Ufuk Topcu Nils Jansen 36 2 0 16 Aug 2024
Bridging State and History Representations: Understanding Self-Predictive RL Tianwei Ni Benjamin Eysenbach Erfan Seyedsalehi Michel Ma Clement Gehring Aditya Mahajan Pierre-Luc Bacon AI4TS AI4CE 22 20 0 17 Jan 2024
Pearl: A Production-ready Reinforcement Learning Agent Zheqing Zhu Rodrigo de Salvo Braz Jalaj Bhandari Daniel Jiang Yi Wan ... D. Korenkevych Ürün Dogan Frank Cheng Zheng Wu Wanqiao Xu VLM OffRL OnRL 33 6 0 06 Dec 2023
Informed POMDP: Leveraging Additional Information in Model-Based RL Gaspard Lambrechts Adrien Bolland D. Ernst 18 7 0 20 Jun 2023
The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models Raphael Avalos Florent Delgrange Ann Nowé Guillermo A. Pérez D. Roijers 31 2 0 06 Mar 2023