Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning

3 April 2023

Antonio Torralba

Papers citing "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning"

30 / 30 papers shown

Title
Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Ruiqi Ni Zherong Pan A. H. Qureshi SSL 39 0 0 09 May 2025
Generative Trajectory Stitching through Diffusion Composition Yunhao Luo Utkarsh Aashu Mishra Yilun Du Danfei Xu 123 1 0 07 Mar 2025
Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following Vivek Myers Bill Chunyuan Zheng Anca Dragan Kuan Fang Sergey Levine 60 0 0 08 Feb 2025
Episodic Novelty Through Temporal Distance Y. Jiang Qihan Liu Yiqin Yang Xiaoteng Ma Dianyu Zhong ... Jun Yang Bin Liang Bo Xu Chongjie Zhang Qianchuan Zhao OffRL 30 0 0 28 Jan 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 46 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 19 0 0 22 Oct 2024
Zero-Shot Offline Imitation Learning via Optimal Transport Thomas Rupf Marco Bagatella Nico Gürtler Jonas Frey Georg Martius OffRL 115 0 0 11 Oct 2024
Quasimetric Value Functions with Dense Rewards Khadichabonu Valieva Bikramjit Banerjee OffRL 30 0 0 13 Sep 2024
Unsupervised-to-Online Reinforcement Learning Junsu Kim Seohong Park Sergey Levine OnRL 48 3 0 27 Aug 2024
TLDR: Unsupervised Goal-Conditioned RL via Temporal Distance-Aware Representations Junik Bae Kwanyoung Park Youngwoon Lee 35 2 0 11 Jul 2024
Generation of Geodesics with Actor-Critic Reinforcement Learning to Predict Midpoints Kazumi Kasaura 23 0 0 02 Jul 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 38 7 0 24 Jun 2024
Improving Reward-Conditioned Policies for Multi-Armed Bandits using Normalized Weight Functions Kai Xu Farid Tajaddodianfar Ben Allison 21 0 0 16 Jun 2024
Is Value Learning Really the Main Bottleneck in Offline RL? Seohong Park Kevin Frans Sergey Levine Aviral Kumar OffRL 43 7 0 13 Jun 2024
Do's and Don'ts: Learning Desirable Skills with Instruction Videos Hyunseung Kim ByungKun Lee Hojoon Lee Dongyoon Hwang Donghu Kim Jaegul Choo 37 1 0 01 Jun 2024
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference Benjamin Eysenbach Vivek Myers Ruslan Salakhutdinov Sergey Levine AI4TS 39 8 0 06 Mar 2024
Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings Kevin Frans Seohong Park Pieter Abbeel Sergey Levine OffRL 40 10 0 27 Feb 2024
Foundation Policies with Hilbert Representations Seohong Park Tobias Kreiman Sergey Levine SSL OffRL 42 18 0 23 Feb 2024
Align Your Intents: Offline Imitation Learning via Optimal Transport Maksim Bobrin N. Buzun Dmitrii Krylov Dmitry V. Dylov OffRL 41 3 0 20 Feb 2024
Learning Goal-Conditioned Policies from Sub-Optimal Offline Data via Metric Learning Alfredo Reichlin Miguel Vasco Hang Yin Danica Kragic OffRL 16 0 0 16 Feb 2024
PcLast: Discovering Plannable Continuous Latent States Anurag Koul Shivakanth Sujit Shaoru Chen Ben Evans Lili Wu ... Yonathan Efroni Lekan Molu Miro Dudik John Langford Alex Lamb OffRL BDL 19 1 0 06 Nov 2023
Contrastive Difference Predictive Coding Chongyi Zheng Ruslan Salakhutdinov Benjamin Eysenbach AI4TS OffRL 24 11 0 31 Oct 2023
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction Seohong Park Oleh Rybkin Sergey Levine OffRL 33 34 0 13 Oct 2023
Zero-Shot Reinforcement Learning from Low Quality Data Scott Jeen Tom Bewley Jonathan M. Cullen OffRL OnRL 34 0 0 26 Sep 2023
HIQL: Offline Goal-Conditioned RL with Latent States as Actions Seohong Park Dibya Ghosh Benjamin Eysenbach Sergey Levine OffRL 30 44 0 22 Jul 2023
Value Functions are Control Barrier Functions: Verification of Safe Policies using Control Theory Daniel C.H. Tan Fernando Acero Robert McCarthy Dimitrios Kanoulas Zhibin Li OffRL 24 2 0 06 Jun 2023
You Can't Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments Keiran Paster Sheila A. McIlraith Jimmy Ba OffRL 154 27 0 31 May 2022
Planning with Diffusion for Flexible Behavior Synthesis Michael Janner Yilun Du J. Tenenbaum Sergey Levine DiffM 202 627 0 20 May 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 160 58 0 30 Dec 2020