C-Learning: Learning to Achieve Goals via Recursive Classification

17 November 2020

Papers citing "C-Learning: Learning to Achieve Goals via Recursive Classification"

20 / 20 papers shown

Title
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
Exploration by Learning Diverse Skills through Successor State Measures Paul-Antoine Le Tolguenec Yann Besse Florent Teichteil-Königsbuch Dennis G. Wilson Emmanuel Rachelson 38 0 0 14 Jun 2024
Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets Haoran He C. Chang Huazhe Xu Ling Pan 89 6 0 03 Jun 2024
Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum Jigang Kim Daesol Cho H. J. Kim 22 3 0 17 May 2023
Distance Weighted Supervised Learning for Offline Interaction Data Joey Hejna Jensen Gao Dorsa Sadigh OffRL 36 12 0 26 Apr 2023
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning Tongzhou Wang Antonio Torralba Phillip Isola Amy Zhang OffRL 29 31 0 03 Apr 2023
Learning Robotic Navigation from Experience: Principles, Methods, and Recent Results Sergey Levine Dhruv Shah SSL 31 21 0 13 Dec 2022
Contrastive Value Learning: Implicit Models for Simple Offline RL Bogdan Mazoure Benjamin Eysenbach Ofir Nachum Jonathan Tompson SSL OffRL 35 7 0 03 Nov 2022
Goal-Conditioned Q-Learning as Knowledge Distillation Alexander Levine S. Feizi OffRL 22 2 0 28 Aug 2022
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning Yunfei Li Tian Gao Jiaqi Yang Huazhe Xu Yi Wu OffRL 19 22 0 24 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 25 138 0 15 Jun 2022
Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation? Yuchen Cui S. Niekum Abhi Gupta Vikash Kumar Aravind Rajeswaran LM&Ro 21 74 0 23 Apr 2022
Learning Domain Invariant Representations in Goal-conditioned Block MDPs Beining Han Chongyi Zheng Harris Chan Keiran Paster Michael Ruogu Zhang Jimmy Ba OOD AI4CE 20 13 0 27 Oct 2021
C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks Tianjun Zhang Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine Joseph E. Gonzalez OffRL 29 16 0 22 Oct 2021
The Information Geometry of Unsupervised Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine SSL OffRL 58 31 0 06 Oct 2021
Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning Yuexiang Zhai Christina Baek Zhengyuan Zhou Jiantao Jiao Yi-An Ma 19 22 0 08 Jul 2021
Goal-Conditioned Reinforcement Learning with Imagined Subgoals Elliot Chane-Sane Cordelia Schmid Ivan Laptev 19 139 0 01 Jul 2021
Rapid Exploration for Open-World Navigation with Latent Goal Models Dhruv Shah Benjamin Eysenbach G. Kahn Nicholas Rhinehart Sergey Levine 24 70 0 12 Apr 2021
Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification Benjamin Eysenbach Sergey Levine Ruslan Salakhutdinov OffRL 34 50 0 23 Mar 2021
Learning One Representation to Optimize All Rewards Ahmed Touati Yann Ollivier OffRL 21 60 0 14 Mar 2021