Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation
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Abstract (arXiv)
Video prediction models combined with planning algorithms have shown promise in enabling robots to learn to perform many vision-based tasks through only self-supervision, reaching novel goals in cluttered scenes with unseen objects. However, due to the compounding uncertainty in long horizon video prediction and poor scalability of sampling-based planning optimizers, one significant limitation of these approaches is the ability to plan over long horizons to reach distant goals. To that end, we propose a framework for subgoal generation and planning, hierarchical visual foresight (HVF), which generates subgoal images conditioned on a goal image, and uses them for planning. The subgoal images are directly optimized to decompose the task into easy to plan segments, and as a result, we observe that the method naturally identifies semantically meaningful states as subgoals. Across three out of four simulated vision-based manipulation tasks, we find that our method achieves nearly a 200% performance improvement over planning without subgoals and model-free RL approaches. Further, our experiments illustrate that our approach extends to real, cluttered visual scenes. Project page: https://sites.google.com/stanford.edu/hvf
Key facts. Cited by 83 papers in the map (data through 14 Oct 2026). First posted on arXiv 12 Sep 2019.
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Citing papers per year: 2020: 1; 2021: 13; 2022: 17; 2023: 15; 2024: 16; 2025: 7; 2026: 14.
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- 2023Hieros: Hierarchical Imagination on Structured State Space Sequence World Modelscited by 8
- 2026Compositional Planning with Jumpy World Modelscited by 7
- 2026FF-JEPA: Long-Horizon Planning in World Models with Latent Plannerscited by 6
- 2026A Definition and Roadmap for World Modelscited by 5
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- 2026FF-JEPA: Long-Horizon Planning in World Models with Latent Planners8 Jun 2026
- 2026Compositional Planning with Jumpy World Models23 Feb 2026
- 2026Grounding Generated Videos in Feasible Plans via World Models2 Feb 2026
- 2025What Drives Success in Physical Planning with Joint-Embedding Predictive World Models?30 Dec 2025
- 2024Learning Abstract World Model for Value-preserving Planning with Options22 Jun 2024
- 2023Hieros: Hierarchical Imagination on Structured State Space Sequence World Models8 Oct 2023
- 2022Inner Monologue: Embodied Reasoning through Planning with Language Models12 Jul 2022
- 2022A Survey on Model-based Reinforcement Learning19 Jun 2022
- 2020COG: Connecting New Skills to Past Experience with Offline Reinforcement Learningcited by 83
- 2022Latent Plans for Task-Agnostic Offline Reinforcement Learningcited by 81
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- 2025Learning Compositional Behaviors from Demonstration and Languagecited by 15
- 2024SEAL: SEmantic-Augmented Imitation Learning via Language Modelcited by 1
- 2026Latent Representation Alignment for Offline Goal-Conditioned Reinforcement Learningcited by 1
- 2026Improving Offline Goal-Conditioned Reinforcement Learning via Selective Reward Stimulationcited by 0
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- 2026Latent Representation Alignment for Offline Goal-Conditioned Reinforcement Learning25 May 2026
- 2025Learning Compositional Behaviors from Demonstration and Language28 May 2025
- 2025Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning19 May 2025
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- 2020COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning27 Oct 2020
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- 2026Action-Sufficient Goal Representationscited by 1
- 2026Laplacian Representations for Decision-Time Planning4 Feb 2026
- 2026Action-Sufficient Goal Representations30 Jan 2026
- 2024Subgoal Discovery Using a Free Energy Paradigm and State Aggregations21 Dec 2024
- 2024Pre-trained Visual Dynamics Representations for Efficient Policy Learning5 Nov 2024
- 2024Solving Minimum-Cost Reach Avoid using Reinforcement Learning29 Oct 2024
- 2024GHIL-Glue: Hierarchical Control with Filtered Subgoal Images26 Oct 2024
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- 2022Goal-Conditioned Reinforcement Learning: Problems and Solutionscited by 158
- 2022PONI: Potential Functions for ObjectGoal Navigation with Interaction-free Learningcited by 150
- 2026π0.7: a Steerable Generalist Robotic Foundation Model with Emergent Capabilitiescited by 138
- 2021Goal-Conditioned Reinforcement Learning with Imagined Subgoalscited by 134
- 2021Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotationcited by 118
- 2023Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysiscited by 103
- 2021FitVid: Overfitting in Pixel-Level Video Predictioncited by 87
- 2021Greedy Hierarchical Variational Autoencoders for Large-Scale Video Predictioncited by 75
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- 2026π0.7: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities16 Apr 2026
- 2025Efficient Robotic Policy Learning via Latent Space Backward Planning11 May 2025
- 2024Scaling Robot Policy Learning via Zero-Shot Labeling with Foundation Models23 Oct 2024
- 2024Implicit Contact Diffuser: Sequential Contact Reasoning with Latent Point Cloud Diffusion21 Oct 2024
- 2024Single-Shot Learning of Stable Dynamical Systems for Long-Horizon Manipulation Tasks1 Oct 2024
- 2024Interpretable Responsibility Sharing as a Heuristic for Task and Motion Planning9 Sep 2024
- 2024Automating Deformable Gasket Assembly22 Aug 2024
- 2024How to Solve Contextual Goal-Oriented Problems with Offline Datasets?14 Aug 2024
- 2024Tell Me What's Next: Textual Foresight for Generic UI Representations12 Jun 2024
- 2023Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis14 Dec 2023
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