Memory-based Deep Reinforcement Learning for POMDPs

24 February 2021

Papers citing "Memory-based Deep Reinforcement Learning for POMDPs"

11 / 11 papers shown

Title
Depth-Constrained ASV Navigation with Deep RL and Limited Sensing Amirhossein Zhalehmehrabi Daniele Meli Francesco Dal Santo Francesco Trotti Alessandro Farinelli 29 0 0 25 Apr 2025
When to Localize? A Risk-Constrained Reinforcement Learning Approach Chak Lam Shek Kasra Torshizi Troi Williams Pratap Tokekar 39 2 0 05 Nov 2024
An Improved Strategy for Blood Glucose Control Using Multi-Step Deep Reinforcement Learning Weiwei Gu Senquan Wang 45 5 0 12 Mar 2024
Weathering Ongoing Uncertainty: Learning and Planning in a Time-Varying Partially Observable Environment Gokul Puthumanaillam Xiangyu Liu Negar Mehr Melkior Ornik 16 4 0 06 Dec 2023
Provable Representation with Efficient Planning for Partial Observable Reinforcement Learning Hongming Zhang Tongzheng Ren Chenjun Xiao Dale Schuurmans Bo Dai 45 3 0 20 Nov 2023
SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning Agents Amirhossein Zolfagharian Manel Abdellatif Lionel C. Briand S. Ramesh 25 5 0 03 Aug 2023
Dynamic deep-reinforcement-learning algorithm in Partially Observed Markov Decision Processes Saki Omi Hyo-Sang Shin Namhoon Cho Antonios Tsourdos 27 3 0 29 Jul 2023
Seq2Seq Imitation Learning for Tactile Feedback-based Manipulation Wenyan Yang A. Angleraud R. Pieters Joni Pajarinen Joni-Kristian Kämäräinen 32 6 0 05 Mar 2023
A Machine with Short-Term, Episodic, and Semantic Memory Systems Taewoon Kim Michael Cochez Vincent Franccois-Lavet Mark Antonius Neerincx Piek Vossen 14 5 0 05 Dec 2022
Leveraging Fully Observable Policies for Learning under Partial Observability Hai V. Nguyen Andrea Baisero Dian Wang Chris Amato Robert W. Platt OffRL 30 19 0 03 Nov 2022
Generalization, Mayhems and Limits in Recurrent Proximal Policy Optimization Marco Pleines Matthias Pallasch F. Zimmer Mike Preuss 26 13 0 23 May 2022