Compositional Planning with Jumpy World Models
Fuente:
arXiv
Saved in:
| Main Authors: | Farebrother, Jesse, Pirotta, Matteo, Tirinzoni, Andrea, Bellemare, Marc G., Lazaric, Alessandro, Touati, Ahmed |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Temporal Difference Flows
by: Farebrother, Jesse, et al.
Published: (2025)
by: Farebrother, Jesse, et al.
Published: (2025)
Simple Ingredients for Offline Reinforcement Learning
by: Cetin, Edoardo, et al.
Published: (2024)
by: Cetin, Edoardo, et al.
Published: (2024)
Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models
by: Tirinzoni, Andrea, et al.
Published: (2025)
by: Tirinzoni, Andrea, et al.
Published: (2025)
TD-JEPA: Latent-predictive Representations for Zero-Shot Reinforcement Learning
by: Bagatella, Marco, et al.
Published: (2025)
by: Bagatella, Marco, et al.
Published: (2025)
Fast Adaptation with Behavioral Foundation Models
by: Sikchi, Harshit, et al.
Published: (2025)
by: Sikchi, Harshit, et al.
Published: (2025)
A Distributional Analogue to the Successor Representation
by: Wiltzer, Harley, et al.
Published: (2024)
by: Wiltzer, Harley, et al.
Published: (2024)
CALE: Continuous Arcade Learning Environment
by: Farebrother, Jesse, et al.
Published: (2024)
by: Farebrother, Jesse, et al.
Published: (2024)
Sample Complexity Bounds for Stochastic Shortest Path with a Generative Model
by: Tarbouriech, Jean, et al.
Published: (2026)
by: Tarbouriech, Jean, et al.
Published: (2026)
Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching
by: Jain, Arnav Kumar, et al.
Published: (2024)
by: Jain, Arnav Kumar, et al.
Published: (2024)
SMORE: Score Models for Offline Goal-Conditioned Reinforcement Learning
by: Sikchi, Harshit, et al.
Published: (2023)
by: Sikchi, Harshit, et al.
Published: (2023)
Mixtures of Experts Unlock Parameter Scaling for Deep RL
by: Obando-Ceron, Johan, et al.
Published: (2024)
by: Obando-Ceron, Johan, et al.
Published: (2024)
Neurosymbolic Grounding for Compositional World Models
by: Sehgal, Atharva, et al.
Published: (2023)
by: Sehgal, Atharva, et al.
Published: (2023)
PoE-World: Compositional World Modeling with Products of Programmatic Experts
by: Piriyakulkij, Wasu Top, et al.
Published: (2025)
by: Piriyakulkij, Wasu Top, et al.
Published: (2025)
Composition of Memory Experts for Diffusion World Models
by: Stapf, Sebastian, et al.
Published: (2026)
by: Stapf, Sebastian, et al.
Published: (2026)
Learning Social Heuristics for Human-Aware Path Planning
by: Eirale, Andrea, et al.
Published: (2025)
by: Eirale, Andrea, et al.
Published: (2025)
Continual Reinforcement Learning by Planning with Online World Models
by: Liu, Zichen, et al.
Published: (2025)
by: Liu, Zichen, et al.
Published: (2025)
Stop Regressing: Training Value Functions via Classification for Scalable Deep RL
by: Farebrother, Jesse, et al.
Published: (2024)
by: Farebrother, Jesse, et al.
Published: (2024)
TRAP: Tail-aware Ranking Attack for World-Model Planning
by: Duan, Siyuan, et al.
Published: (2026)
by: Duan, Siyuan, et al.
Published: (2026)
Learning Abstract World Model for Value-preserving Planning with Options
by: Rodriguez-Sanchez, Rafael, et al.
Published: (2024)
by: Rodriguez-Sanchez, Rafael, et al.
Published: (2024)
World Models via Policy-Guided Trajectory Diffusion
by: Rigter, Marc, et al.
Published: (2023)
by: Rigter, Marc, et al.
Published: (2023)
Simple, Good, Fast: Self-Supervised World Models Free of Baggage
by: Robine, Jan, et al.
Published: (2025)
by: Robine, Jan, et al.
Published: (2025)
Spatiotemporal Forecasting as Planning: A Model-Based Reinforcement Learning Approach with Generative World Models
by: Wu, Hao, et al.
Published: (2025)
by: Wu, Hao, et al.
Published: (2025)
Intelligent Video Recording Optimization using Activity Detection for Surveillance Systems
by: Elmir, Youssef, et al.
Published: (2024)
by: Elmir, Youssef, et al.
Published: (2024)
OOWM: Structuring Embodied Reasoning and Planning via Object-Oriented Programmatic World Modeling
by: Chen, Hongyu, et al.
Published: (2026)
by: Chen, Hongyu, et al.
Published: (2026)
The Global Neural World Model: Spatially Grounded Discrete Topologies for Action-Conditioned Planning
by: Kermiche, Noureddine
Published: (2026)
by: Kermiche, Noureddine
Published: (2026)
Planning Under Observation Mismatch for Traffic Signal Control via Adaptive Modular World Models
by: Huang, Zherui, et al.
Published: (2025)
by: Huang, Zherui, et al.
Published: (2025)
AttentionSmithy: A Modular Framework for Rapid Transformer Development and Customization
by: Cranney, Caleb, et al.
Published: (2025)
by: Cranney, Caleb, et al.
Published: (2025)
APT: Architectural Planning and Text-to-Blueprint Construction Using Large Language Models for Open-World Agents
by: Chen, Jun Yu, et al.
Published: (2024)
by: Chen, Jun Yu, et al.
Published: (2024)
What Drives Success in Physical Planning with Joint-Embedding Predictive World Models?
by: Terver, Basile, et al.
Published: (2025)
by: Terver, Basile, et al.
Published: (2025)
FLIP: Flow-Centric Generative Planning as General-Purpose Manipulation World Model
by: Gao, Chongkai, et al.
Published: (2024)
by: Gao, Chongkai, et al.
Published: (2024)
Multi-modal Synthetic Data Training and Model Collapse: Insights from VLMs and Diffusion Models
by: Hu, Zizhao, et al.
Published: (2025)
by: Hu, Zizhao, et al.
Published: (2025)
Deep Neural Network Benchmarks for Selective Classification
by: Pugnana, Andrea, et al.
Published: (2024)
by: Pugnana, Andrea, et al.
Published: (2024)
Learning Social Cost Functions for Human-Aware Path Planning
by: Eirale, Andrea, et al.
Published: (2024)
by: Eirale, Andrea, et al.
Published: (2024)
Refining Compositional Diffusion for Reliable Long-Horizon Planning
by: Lee, Kyowoon, et al.
Published: (2026)
by: Lee, Kyowoon, et al.
Published: (2026)
Subgoal Graph-Augmented Planning for LLM-Guided Open-World Reinforcement Learning
by: Fan, Shanwei, et al.
Published: (2025)
by: Fan, Shanwei, et al.
Published: (2025)
Imagine-then-Plan: Agent Learning from Adaptive Lookahead with World Models
by: Liu, Youwei, et al.
Published: (2026)
by: Liu, Youwei, et al.
Published: (2026)
What makes Models Compositional? A Theoretical View: With Supplement
by: Ram, Parikshit, et al.
Published: (2024)
by: Ram, Parikshit, et al.
Published: (2024)
Trustworthy AI Must Account for Interactions
by: Cresswell, Jesse C.
Published: (2025)
by: Cresswell, Jesse C.
Published: (2025)
Guiding Language Model Reasoning with Planning Tokens
by: Wang, Xinyi, et al.
Published: (2023)
by: Wang, Xinyi, et al.
Published: (2023)
RLVR-World: Training World Models with Reinforcement Learning
by: Wu, Jialong, et al.
Published: (2025)
by: Wu, Jialong, et al.
Published: (2025)
Similar Items
-
Temporal Difference Flows
by: Farebrother, Jesse, et al.
Published: (2025) -
Simple Ingredients for Offline Reinforcement Learning
by: Cetin, Edoardo, et al.
Published: (2024) -
Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models
by: Tirinzoni, Andrea, et al.
Published: (2025) -
TD-JEPA: Latent-predictive Representations for Zero-Shot Reinforcement Learning
by: Bagatella, Marco, et al.
Published: (2025) -
Fast Adaptation with Behavioral Foundation Models
by: Sikchi, Harshit, et al.
Published: (2025)