On the Learning and Learnability of Quasimetrics

30 June 2022

Papers citing "On the Learning and Learnability of Quasimetrics"

9 / 9 papers shown

Title
Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Ruiqi Ni Zherong Pan A. H. Qureshi SSL 41 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 37 0 0 09 Nov 2024
Quasimetric Value Functions with Dense Rewards Khadichabonu Valieva Bikramjit Banerjee OffRL 35 0 0 13 Sep 2024
Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making Vivek Myers Chongyi Zheng Anca Dragan Sergey Levine Benjamin Eysenbach OffRL 45 7 0 24 Jun 2024
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning Tongzhou Wang Antonio Torralba Phillip Isola Amy Zhang OffRL 32 33 0 03 Apr 2023
Improved Representation of Asymmetrical Distances with Interval Quasimetric Embeddings Tongzhou Wang Phillip Isola 29 7 0 28 Nov 2022
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 24 35 0 12 Feb 2020
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 187 601 0 22 Sep 2016