HarmonyDream: Task Harmonization Inside World Models
Fuente:
arXiv
Saved in:
| Main Authors: | Ma, Haoyu, Wu, Jialong, Feng, Ningya, Xiao, Chenjun, Li, Dong, Hao, Jianye, Wang, Jianmin, Long, Mingsheng |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CompilerDream: Learning a Compiler World Model for General Code Optimization
by: Deng, Chaoyi, et al.
Published: (2024)
by: Deng, Chaoyi, et al.
Published: (2024)
RLVR-World: Training World Models with Reinforcement Learning
by: Wu, Jialong, et al.
Published: (2025)
by: Wu, Jialong, et al.
Published: (2025)
iVideoGPT: Interactive VideoGPTs are Scalable World Models
by: Wu, Jialong, et al.
Published: (2024)
by: Wu, Jialong, et al.
Published: (2024)
Trajectory World Models for Heterogeneous Environments
by: Yin, Shaofeng, et al.
Published: (2025)
by: Yin, Shaofeng, et al.
Published: (2025)
Long-Sequence Recommendation Models Need Decoupled Embeddings
by: Feng, Ningya, et al.
Published: (2024)
by: Feng, Ningya, et al.
Published: (2024)
Vid2World: Crafting Video Diffusion Models to Interactive World Models
by: Huang, Siqiao, et al.
Published: (2025)
by: Huang, Siqiao, et al.
Published: (2025)
HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction
by: Xing, Lanxiang, et al.
Published: (2023)
by: Xing, Lanxiang, et al.
Published: (2023)
RoPINN: Region Optimized Physics-Informed Neural Networks
by: Wu, Haixu, et al.
Published: (2024)
by: Wu, Haixu, et al.
Published: (2024)
Scaling DRL for Decision Making: A Survey on Data, Network, and Training Budget Strategies
by: Ma, Yi, et al.
Published: (2025)
by: Ma, Yi, et al.
Published: (2025)
Deep Time Series Models: A Comprehensive Survey and Benchmark
by: Wang, Yuxuan, et al.
Published: (2024)
by: Wang, Yuxuan, et al.
Published: (2024)
TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling
by: Dong, Jiaxiang, et al.
Published: (2024)
by: Dong, Jiaxiang, et al.
Published: (2024)
U-Harmony: Enhancing Joint Training for Segmentation Models with Universal Harmonization
by: Ma, Weiwei, et al.
Published: (2026)
by: Ma, Weiwei, et al.
Published: (2026)
ProPINN: Demystifying Propagation Failures in Physics-Informed Neural Networks
by: Wu, Haixu, et al.
Published: (2025)
by: Wu, Haixu, et al.
Published: (2025)
Metadata Matters for Time Series: Informative Forecasting with Transformers
by: Dong, Jiaxiang, et al.
Published: (2024)
by: Dong, Jiaxiang, et al.
Published: (2024)
JEPA-VLA: Video Predictive Embedding is Needed for VLA Models
by: Miao, Shangchen, et al.
Published: (2026)
by: Miao, Shangchen, et al.
Published: (2026)
Transolver: A Fast Transformer Solver for PDEs on General Geometries
by: Wu, Haixu, et al.
Published: (2024)
by: Wu, Haixu, et al.
Published: (2024)
AutoTimes: Autoregressive Time Series Forecasters via Large Language Models
by: Liu, Yong, et al.
Published: (2024)
by: Liu, Yong, et al.
Published: (2024)
Domain Guidance: A Simple Transfer Approach for a Pre-trained Diffusion Model
by: Zhong, Jincheng, et al.
Published: (2025)
by: Zhong, Jincheng, et al.
Published: (2025)
Transolver-3: Scaling Up Transformer Solvers to Industrial-Scale Geometries
by: Zhou, Hang, et al.
Published: (2026)
by: Zhou, Hang, et al.
Published: (2026)
FlashBias: Fast Computation of Attention with Bias
by: Wu, Haixu, et al.
Published: (2025)
by: Wu, Haixu, et al.
Published: (2025)
Timer: Generative Pre-trained Transformers Are Large Time Series Models
by: Liu, Yong, et al.
Published: (2024)
by: Liu, Yong, et al.
Published: (2024)
Timer-XL: Long-Context Transformers for Unified Time Series Forecasting
by: Liu, Yong, et al.
Published: (2024)
by: Liu, Yong, et al.
Published: (2024)
FedHarmony: Harmonizing Heterogeneous Label Correlations in Federated Multi-Label Learning
by: Kou, Zhiqiang, et al.
Published: (2026)
by: Kou, Zhiqiang, et al.
Published: (2026)
PhySense: Sensor Placement Optimization for Accurate Physics Sensing
by: Ma, Yuezhou, et al.
Published: (2025)
by: Ma, Yuezhou, et al.
Published: (2025)
Brep2Shape: Boundary and Shape Representation Alignment via Self-Supervised Transformers
by: Sun, Yuanxu, et al.
Published: (2026)
by: Sun, Yuanxu, et al.
Published: (2026)
CogDPM: Diffusion Probabilistic Models via Cognitive Predictive Coding
by: Chen, Kaiyuan, et al.
Published: (2024)
by: Chen, Kaiyuan, et al.
Published: (2024)
Superpose Task-specific Features for Model Merging
by: Qiu, Haiquan, et al.
Published: (2025)
by: Qiu, Haiquan, et al.
Published: (2025)
Probabilistic Dreaming for World Models
by: Wong, Gavin
Published: (2026)
by: Wong, Gavin
Published: (2026)
TimesBERT: A BERT-Style Foundation Model for Time Series Understanding
by: Zhang, Haoran, et al.
Published: (2025)
by: Zhang, Haoran, et al.
Published: (2025)
Regression Models Meet Foundation Models: A Hybrid-AI Approach to Practical Electricity Price Forecasting
by: Qiu, Yunzhong, et al.
Published: (2026)
by: Qiu, Yunzhong, et al.
Published: (2026)
ED2: Environment Dynamics Decomposition World Models for Continuous Control
by: Hao, Jianye, et al.
Published: (2021)
by: Hao, Jianye, et al.
Published: (2021)
Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries
by: Luo, Huakun, et al.
Published: (2025)
by: Luo, Huakun, et al.
Published: (2025)
Dynamical Diffusion: Learning Temporal Dynamics with Diffusion Models
by: Guo, Xingzhuo, et al.
Published: (2025)
by: Guo, Xingzhuo, et al.
Published: (2025)
CoRA: Covariate-Aware Adaptation of Time Series Foundation Models
by: Qin, Guo, et al.
Published: (2025)
by: Qin, Guo, et al.
Published: (2025)
Sundial: A Family of Highly Capable Time Series Foundation Models
by: Liu, Yong, et al.
Published: (2025)
by: Liu, Yong, et al.
Published: (2025)
MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learning
by: Yuan, Yifu, et al.
Published: (2024)
by: Yuan, Yifu, et al.
Published: (2024)
DiTS: Multimodal Diffusion Transformers Are Time Series Forecasters
by: Zhang, Haoran, et al.
Published: (2026)
by: Zhang, Haoran, et al.
Published: (2026)
An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models
by: Pan, Yangchen, et al.
Published: (2024)
by: Pan, Yangchen, et al.
Published: (2024)
When World Models Dream Wrong: Physical-Conditioned Adversarial Attacks against World Models
by: Guo, Zhixiang, et al.
Published: (2026)
by: Guo, Zhixiang, et al.
Published: (2026)
Task-Aware Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning
by: Fan, Ziqing, et al.
Published: (2024)
by: Fan, Ziqing, et al.
Published: (2024)
Similar Items
-
CompilerDream: Learning a Compiler World Model for General Code Optimization
by: Deng, Chaoyi, et al.
Published: (2024) -
RLVR-World: Training World Models with Reinforcement Learning
by: Wu, Jialong, et al.
Published: (2025) -
iVideoGPT: Interactive VideoGPTs are Scalable World Models
by: Wu, Jialong, et al.
Published: (2024) -
Trajectory World Models for Heterogeneous Environments
by: Yin, Shaofeng, et al.
Published: (2025) -
Long-Sequence Recommendation Models Need Decoupled Embeddings
by: Feng, Ningya, et al.
Published: (2024)