State Combinatorial Generalization In Decision Making With Conditional Diffusion Models
Fuente:
arXiv
Saved in:
| Main Authors: | Duan, Xintong, He, Yutong, Tajwar, Fahim, Chen, Wen-Tse, Salakhutdinov, Ruslan, Schneider, Jeff |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Accelerating Diffusion Planners in Offline RL via Reward-Aware Consistency Trajectory Distillation
by: Duan, Xintong, et al.
Published: (2025)
by: Duan, Xintong, et al.
Published: (2025)
Retrospective In-Context Learning for Temporal Credit Assignment with Large Language Models
by: Chen, Wen-Tse, et al.
Published: (2026)
by: Chen, Wen-Tse, et al.
Published: (2026)
Can Large Reasoning Models Self-Train?
by: Shafayat, Sheikh, et al.
Published: (2025)
by: Shafayat, Sheikh, et al.
Published: (2025)
Training a Generally Curious Agent
by: Tajwar, Fahim, et al.
Published: (2025)
by: Tajwar, Fahim, et al.
Published: (2025)
Maximum Likelihood Reinforcement Learning
by: Tajwar, Fahim, et al.
Published: (2026)
by: Tajwar, Fahim, et al.
Published: (2026)
Self-Regulation and Requesting Interventions
by: Min, So Yeon, et al.
Published: (2025)
by: Min, So Yeon, et al.
Published: (2025)
Splats under Pressure: Exploring Performance-Energy Trade-offs in Real-Time 3D Gaussian Splatting under Constrained GPU Budgets
by: Tajwar, Muhammad Fahim, et al.
Published: (2026)
by: Tajwar, Muhammad Fahim, et al.
Published: (2026)
Blind Inverse Problem Solving Made Easy by Text-to-Image Latent Diffusion
by: Dontas, Michail, et al.
Published: (2024)
by: Dontas, Michail, et al.
Published: (2024)
Reasoning as an Adaptive Defense for Safety
by: Kim, Taeyoun, et al.
Published: (2025)
by: Kim, Taeyoun, et al.
Published: (2025)
Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data
by: Tajwar, Fahim, et al.
Published: (2024)
by: Tajwar, Fahim, et al.
Published: (2024)
Contrastive Difference Predictive Coding
by: Zheng, Chongyi, et al.
Published: (2023)
by: Zheng, Chongyi, et al.
Published: (2023)
Continual Policy Distillation from Distributed Reinforcement Learning Teachers
by: Li, Yuxuan, et al.
Published: (2026)
by: Li, Yuxuan, et al.
Published: (2026)
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference
by: Eysenbach, Benjamin, et al.
Published: (2024)
by: Eysenbach, Benjamin, et al.
Published: (2024)
Joint Distillation for Fast Likelihood Evaluation and Sampling in Flow-based Models
by: Ai, Xinyue, et al.
Published: (2025)
by: Ai, Xinyue, et al.
Published: (2025)
Structured Reinforcement Learning for Combinatorial Decision-Making
by: Hoppe, Heiko, et al.
Published: (2025)
by: Hoppe, Heiko, et al.
Published: (2025)
Understanding Visual Concepts Across Models
by: Trabucco, Brandon, et al.
Published: (2024)
by: Trabucco, Brandon, et al.
Published: (2024)
Multi-Agent Computer Use
by: Koh, Jing Yu, et al.
Published: (2026)
by: Koh, Jing Yu, et al.
Published: (2026)
InSTA: Towards Internet-Scale Training For Agents
by: Trabucco, Brandon, et al.
Published: (2025)
by: Trabucco, Brandon, et al.
Published: (2025)
Response to Promises and Pitfalls of Deep Kernel Learning
by: Wilson, Andrew Gordon, et al.
Published: (2025)
by: Wilson, Andrew Gordon, et al.
Published: (2025)
Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks
by: Dalal, Murtaza, et al.
Published: (2024)
by: Dalal, Murtaza, et al.
Published: (2024)
Tree Search for Language Model Agents
by: Koh, Jing Yu, et al.
Published: (2024)
by: Koh, Jing Yu, et al.
Published: (2024)
Adaptive Combinatorial Experimental Design: Pareto Optimality for Decision-Making and Inference
by: Xie, Hongrui, et al.
Published: (2026)
by: Xie, Hongrui, et al.
Published: (2026)
Conservative Prediction via Data-Driven Confidence Minimization
by: Choi, Caroline, et al.
Published: (2023)
by: Choi, Caroline, et al.
Published: (2023)
ME-IGM: Individual-Global-Max in Maximum Entropy Multi-Agent Reinforcement Learning
by: Chen, Wen-Tse, et al.
Published: (2024)
by: Chen, Wen-Tse, et al.
Published: (2024)
Odysseys: Benchmarking Web Agents on Realistic Long Horizon Tasks
by: Jang, Lawrence Keunho, et al.
Published: (2026)
by: Jang, Lawrence Keunho, et al.
Published: (2026)
ASAP: Exploiting the Satisficing Generalization Edge in Neural Combinatorial Optimization
by: Fang, Han, et al.
Published: (2025)
by: Fang, Han, et al.
Published: (2025)
Cost-Efficient Online Decision Making: A Combinatorial Multi-Armed Bandit Approach
by: Rahbar, Arman, et al.
Published: (2023)
by: Rahbar, Arman, et al.
Published: (2023)
Stylus: Automatic Adapter Selection for Diffusion Models
by: Luo, Michael, et al.
Published: (2024)
by: Luo, Michael, et al.
Published: (2024)
Expanding the Capabilities of Reinforcement Learning via Text Feedback
by: Song, Yuda, et al.
Published: (2026)
by: Song, Yuda, et al.
Published: (2026)
TransFusion: Generating Long, High Fidelity Time Series using Diffusion Models with Transformers
by: Sikder, Md Fahim, et al.
Published: (2023)
by: Sikder, Md Fahim, et al.
Published: (2023)
POPE: Learning to Reason on Hard Problems via Privileged On-Policy Exploration
by: Qu, Yuxiao, et al.
Published: (2026)
by: Qu, Yuxiao, et al.
Published: (2026)
Generative Models in Decision Making: A Survey
by: Shao, Xinyu, et al.
Published: (2025)
by: Shao, Xinyu, et al.
Published: (2025)
Causal Time Series Generation via Diffusion Models
by: Xia, Yutong, et al.
Published: (2025)
by: Xia, Yutong, et al.
Published: (2025)
Gen-DFL: Decision-Focused Generative Learning for Robust Decision Making
by: Wang, Prince Zizhuang, et al.
Published: (2025)
by: Wang, Prince Zizhuang, et al.
Published: (2025)
Beyond Linear Diffusions: Improved Representations for Rare Conditional Generative Modeling
by: Dharmakeerthi, Kulunu, et al.
Published: (2025)
by: Dharmakeerthi, Kulunu, et al.
Published: (2025)
LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport
by: Liu, Yanbin, et al.
Published: (2019)
by: Liu, Yanbin, et al.
Published: (2019)
Habitizing Diffusion Planning for Efficient and Effective Decision Making
by: Lu, Haofei, et al.
Published: (2025)
by: Lu, Haofei, et al.
Published: (2025)
What Makes a Good Diffusion Planner for Decision Making?
by: Lu, Haofei, et al.
Published: (2025)
by: Lu, Haofei, et al.
Published: (2025)
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making
by: Dong, Zibin, et al.
Published: (2024)
by: Dong, Zibin, et al.
Published: (2024)
Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation
by: He, Yutong, et al.
Published: (2024)
by: He, Yutong, et al.
Published: (2024)
Similar Items
-
Accelerating Diffusion Planners in Offline RL via Reward-Aware Consistency Trajectory Distillation
by: Duan, Xintong, et al.
Published: (2025) -
Retrospective In-Context Learning for Temporal Credit Assignment with Large Language Models
by: Chen, Wen-Tse, et al.
Published: (2026) -
Can Large Reasoning Models Self-Train?
by: Shafayat, Sheikh, et al.
Published: (2025) -
Training a Generally Curious Agent
by: Tajwar, Fahim, et al.
Published: (2025) -
Maximum Likelihood Reinforcement Learning
by: Tajwar, Fahim, et al.
Published: (2026)