Improved Representation of Asymmetrical Distances with Interval Quasimetric Embeddings

28 November 2022

Papers citing "Improved Representation of Asymmetrical Distances with Interval Quasimetric Embeddings"

8 / 8 papers shown

Title
Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning Hongjoon Ahn Heewoong Choi Jisu Han Taesup Moon OffRL 5 0 0 19 May 2025
Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Ruiqi Ni Zherong Pan A. H. Qureshi SSL 39 0 0 09 May 2025
State Chrono Representation for Enhancing Generalization in Reinforcement Learning Jianda Chen Wen Zheng Terence Ng Zichen Chen Sinno Jialin Pan Tianwei Zhang OffRL 35 0 0 09 Nov 2024
OGBench: Benchmarking Offline Goal-Conditioned RL Seohong Park Kevin Frans Benjamin Eysenbach Sergey Levine OffRL 50 8 0 26 Oct 2024
QuasiNav: Asymmetric Cost-Aware Navigation Planning with Constrained Quasimetric Reinforcement Learning Jumman Hossain A. Faridee Derrik E. Asher Jade Freeman Theron T. Trout T. Gregory Nirmalya Roy 29 0 0 22 Oct 2024
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning Tongzhou Wang Antonio Torralba Phillip Isola Amy Zhang OffRL 32 31 0 03 Apr 2023
Model-Based Visual Planning with Self-Supervised Functional Distances Stephen Tian Suraj Nair F. Ebert Sudeep Dasari Benjamin Eysenbach Chelsea Finn Sergey Levine SSL OffRL 168 58 0 30 Dec 2020
Shortest path distance approximation using deep learning techniques Fatemeh Salehi Rizi Jorg Schlotterer Michael Granitzer GNN 18 35 0 12 Feb 2020