Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making

Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making

24 June 2024

Sergey Levine

Benjamin Eysenbach

Papers citing "Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making"

6 / 6 papers shown

Title
1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities Kevin Wang Ishaan Javali Michał Bortkiewicz Tomasz Trzciñski Benjamin Eysenbach SSL OffRL 62 0 0 19 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 56 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 28 0 0 28 Jan 2025
OGBench: Benchmarking Offline Goal-Conditioned RL Seohong Park Kevin Frans Benjamin Eysenbach Sergey Levine OffRL 38 8 0 26 Oct 2024
Distance Weighted Supervised Learning for Offline Interaction Data Joey Hejna Jensen Gao Dorsa Sadigh OffRL 18 12 0 26 Apr 2023
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 203 627 0 12 Oct 2021